SUPER IMPORTANT QUESTION!

August 20, 2015

If you were to come up with a dance move to rep a chart type, what would it be? Here's my box plot move: http://t.co/rVa0IQomf6 #watchmeviz

— Jewel Loree (@jeweloree) August 20, 2015

Send me your best viz dance moves!

Also, I’m still looking for people to send vizzes for Pimp My Viz 2: Electric Boogaloo, so fill out this form with your ugliest viz!

xoxoxoxo,
Jewel

It’s Happening! Pimp My Viz 2: Electric Boogaloo

July 22, 2015

That’s right, dear readers! Back by popular demand, I will once again be pimping vizzes at Tableau Conference! What’s Pimp My Viz, you ask? Well, check out this little teaser video!

You can also watch last year’s session here.

A key component of Pimp My Viz is having vizzes to pimp! That’s why I created this handy submission form. Send me your lackluster vizzes and I’ll make them so shiny and ridiculous it’ll bring a tear to Xzibit’s eye. Submit your viz today!

Data Feed: Inside Airbnb

June 2, 2015

Stumbled upon a pretty fantastic group of Airbnb datasets for Amsterdam, Barcelona, London, NYC, Paris, Portland, San Francisco, and Sydney. You can find them here. Looks like things are spread across a few different tables so some join/blend action will probably be necessary. But on first glance, they look pretty robust. Enjoy!

Pimp My Viz TC14: Now Available for your Viewing Pleasure

April 23, 2015

Great news, everyone! All of the session from Tableau Conference 2014 in Seattle are now online for your viewing pleasure, including my super fun Pimp My Viz presentation. Check it out, learn some cool tips, and get thinking of ideas of vizzes to submit for *hopefully* Pimp My Viz 2015!

Data Feed: Aggressive Actions in Harry Potter

March 25, 2015

Accio data!

Someone on Reddit has compiled all the aggressive actions in the Harry Potter series into a handy spreadsheet and made some well-meaning but overall lackluster pie charts out of it.

 

Professor McGonagall

Professor McGonagall is unimpressed.

 

Here’s the data! Do something awesome!

Data Feed: Reliability data for 41000 hard drives

February 9, 2015

Backblaze.com has released a huge dataset of failure rates and other hard drive stats for over 41,000 hard drives. Check it out here!

Pop Viz: What Music Matters Most to KEXP, Revisited

January 15, 2015

Last year, I made a series of visualizations based on playlist data from my favorite local radio station: KEXP. Well, it’s a new year and there’s new data, so here I go again! First, let’s start with the classic viz I made last year. This view shows the top artists, albums, and tracks of the year. The color denotes which DJ played them. You can use the dropdowns to view specific DJs or toggle between artist, album, and track.

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Our big winner here was Spoon, not surprising as they released one of the best new albums of 2014. However, DJs must’ve been drawing from their back catalog a bit to get them up to all those plays because their new album was in 5th place when it comes to top albums. The top spot actually went to what was probably my favorite album of the year, “Sun Structures” by Temples.


I mean…that hair + that awesome psychedelic sound….what’s not to love?

By the way, if you look at the top albums and tracks, you’ll often see an asterisk for artist. This is because the DJ assistants at KEXP who input all the playlist data can’t agree if it’s Alt-J or alt-J. Capitalization irregularities actually plagued this whole dataset, so some of the numbers may look a little lower than they should be. Another issue is when bands have song titles with the same name. For example, a track named “Feel” appears to be the second most played song, when in actuality that’s a combination of plays for songs by Bombay Bicycle Club, Ty Segall, Big Star, and a few others. Unfortunately, you can’t use combined fields in parameters in Tableau, so there was no way for me to fix it on this particular dashboard.

The number one song is “Red Eyes” by The War on Drugs. I was especially tickled by the high placement of the song “Queen” by local hero Perfume Genius. This song is amazing and deserves the number spot for the line “No family is safe when I sashay” alone. The video is pretty weird and rad:

The whole album is amazing and I couldn’t help but use intoxicants and lay on the floor and listen to it when I put the vinyl on for the first time.

My new Perfume Genius record is the color of vanilla ice cream. One of my favorite colored vinyl acquisitions yet. The album itself is pretty gorgeous, too.

A photo posted by Jewel Loree (@jeweloree) on

I wanted a couple dashboards that people could go into and make insights about their favorite bands and DJs. First, an artist explorer. You can use the dropdown to choose a couple different artists to compare. There’s a text search, if you don’t want to read through the whole big list. As a starting point, I compare my two favorite Seattle bands, La Luz and TacocaT. They seem to be pretty even in plays.

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Next, here’s a dashboard that looks at what DJs like to play. I’ve started out with infamous morning DJ and tastemaker John Richards. Man, that dude loves Strands of Oaks’ newest album. Especially on Tuesday mornings at 6 am. In fact, he actually said himself it was his favorite album of the year. It’s pretty fun to click on one of the artists on the right and see what time they are played the most.

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This year, I really wanted to do something with the top 90.3 albums of the year. KEXP had a form up on their website in December for their listeners to vote for their five favorite 2014 album releases of the year. They tallied up the votes and ranked the albums and did a fun countdown at the end of December. I wanted to compare the ranks by listeners to how often those albums were actually played. That’s how I got this nifty quadrant chart:

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I’ve divided the chart into 4 sections. “High Listener Rank, High DJ Plays” means that the listeners and DJs were in agreement that these albums fucking rocked and should be considered to top honors. The listeners and DJs are also in agreement in the “Low Listener Rank, Low DJ Plays” quadrant. The interesting stuff is really in the other two quadrants. I noticed that in “Low Listener Rank, High DJ Plays” there are a few more local bands and just generally less known bands. This section is showing our taste-makers at work. I’d bet that a lot of people voted for these albums after hearing them first on KEXP. The “High Listener Rank, Low DJ Plays” section is interesting because it’s filled with indie favorites: The Afghan Whigs, Jenny Lewis, Aphex Twin… these are some heavy-hitters. These are all pretty well-known artists outside the college rock scene, which is maybe why KEXP plays them a little less than some other bands.

Last up, I just wanted to make some quick points of things I thought would be interesting to know. For example, did you know that the artist with the most distinct albums played on KEXP was Johnny Cash? It probably helps that he made a buttload of them. Click through these story points if you want to see more stuff like that.

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I think the third story point is especially interesting. I filtered the list to only show artists that only have one song played on KEXP and than sorted it by number of plays. So you can think of it as the ultimate 1-hit wonders on KEXP in 2014.The song that ended up in the top spot on that list was actually pretty cool:

Dig into those dashboards if you feel so inclined. And be sure to tweet me and interesting tidbits you find in there!

New Year’s Resolutions, Data Edition

January 5, 2015

Happy 2015, everyone!

I hope your year is already off to a fabulous start! I’ve been thinking, I’d really like to set some goals for myself this year, so I’m making my DATA RESOLUTIONS. And I’m declaring them in front of all you people on the internet so that I’ll feel at least slightly accountable. Ready…. let’s go!

Resolution 1: Learn Python

I love using tools like import.io for web scraping, but sometimes it isn’t enough. This year I want to learn enough Python to be able to do some web scraping and data formatting jobs.

Resolution 2: Improve Javascript skills and learn D3

People all over the web are using D3, including for some nifty Tableau applications. So, I want to as well!

Resolution 3: Grow the /r/tableau community

I’ve been neglecting my poor baby, the /r/tableau subreddit. This year, I want to get more happening with it including contests, discussions, IamA’s with Tableau Employees and more!

That’s enough for now, since these are all pretty big undertakings. What are your data resolutions?

Holiday Gift Guide for Data Lovers

December 4, 2014

Don’t know what to get the data lover in your life for Christmas? Here’s some of my top picks for data nerds this holiday season.

1. Dataclysm: Who We Are (When We Think No One’s Looking) by Christian Rudderdataclysm-cover

 

This is a fantastic book from Christian Rudder, co-founder of OkCupid. Fans of the OkTrends blog (my favorite data blog of all time) will love this. Tons of hilarious and poignant insights based on data from online dating profiles.

2. Meshu: Jewelry based on real location data

Meshu

Get custom necklaces, earrings, or rings based on Foursquare or Facebook check-ins, or by manually entering addresses. Pretty striking and cool results.

3. Antique Graph Prints

Antique Graph

Give your data lover a little piece of data history. This is a great collection of antique graphs and maps I found on Etsy. There’s plenty of other sellers of these kinds of prints, too, if you just search for “antique graphs”.

4. 23 and Me

Help you data geek learn a little more about themselves. Get them a genetic testing kit and they’ll learn all kinds of data about their ancestry!

5. Monochome Map Clothing

Monochome

Choose a location and a style of map and print shirts or skirts of your favorite places. A nice geographical alternative to making your own data skirts. 😉

BONUS:

Wrap your awesome data themed presents in data viz wrapping paper! All these designs were made in Tableau using data about holiday spending and shopping.

Treemap

Treemap

Bar Chart

Bar Chart

Bubble Chart

Bubble Chart

Pop Viz: Find your perfect dog or cat

November 26, 2014

For #TableauDesignMonth I wrote up a little blog post called “5 Easy Ways to Pimp Your Viz” which included a handy little dashboard I whipped up about dog breeds:

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The data is from Petfinder.com which I scraped with Import.io and turned all the little dot symbols into numbers by doing a crapton of find-and-replace magic in Excel.

Of course, not everyone is a dog person (in fact, we know where the cat fanciers live!):


So, here’s a cat dashboard too! The data is also from Petfinder.

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