Depending on the sites you frequent and the social media you consume, you might think the Supreme Court's marriage equality ruling went over rather poorly. Maybe you spend a lot of time in the comments section of the National Review or have that one uncle from Cleveland who won't shut up on Facebook or just saw some grim off-handed bigotry that stuck with you over the long weekend. The point is, if you're worried that Americans launched en masse into unhinged tirades about activist judges and the gay agenda and the sanctity of marriage, well, you don't really have to worry. Turns out we're roundly supportive of equal rights.
The thing I noticed when I first visited CrowdFlower was the television. I'd come in early for my first interview and found myself staring at it, but not because the monitor was displaying metrics like you might expect. It was a slide-show with people and their quotes, the contributors who work on CrowdFlower's platform. And it wasn’t all the different people, but one specific image that struck me: a picture of a man named Gerandy from Laguna, Philippines with a quote saying how CrowdFlower has allowed him to earn enough income to help his family.
We've been busily adding new speakers for the Rich Data Summit, and by speakers, we mean data scientists. Lots and lots of data scientists.
It’s my first week at CrowdFlower and my excitement is higher than it’s ever been. Not only is the company full to the brim with incredibly talented people, but those talented people are actually really fun to work with [ed note: he means me]. However, I noticed a problem in my first week as our Lead Sales Development Rep that I know a lot of my peers come across at their companies: Salesforce data.
A while back, we found an interesting dataset online. The URL, killedbypolice.net, is fairly self-explanatory. It's a community-sourced list of all "police-involved fatalities", started in May of 2013, but the data itself was a bit jumbled and messy. Race and gender identifiers were in the same column, dates were inconsistent, and though most entries had a news story, we felt there was more information we wanted to know. We put the dataset through our platform to get more information and are presenting it below, as a joint project with Silk.co, who helped us visualize the enriched data.