Fun With Data Archives | Civis Analytics

Tag Fun With Data

Civis R&D Bookshelf: UX for APIs, archaeology, and a t-SNE alternative

by Henry H.

This post is part of our Bookshelf series organized by the Data Science R&D department at Civis Analytics. In this series, Civis data scientists share links to interesting software tools, blog posts, scientific articles, and other things that they have read about recently, along with a little commentary about why these things are worth checking out. Are you reading anything...

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Counting Turkeys on Twitter with Apache Spark

Counting Turkeys on Twitter with Apache Spark

by Michael H.

At Civis, we are continuing to work more and more with Apache Spark, a tool which is almost synonymous with #BigData these days. With Thanksgiving coming up, let’s use Spark to analyze some tweets about Thanksgiving from last year (2016). Goals of this post: Do some fun and interesting analyses of Twitter data in time for Turkey Day. Provide an...

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Hack Hunger Hackathon

Hack Hunger Hackathon

by Salil G.

One of the best things about working at Civis Analytics is the number of opportunities we have to give back to the Chicago community. On September 23rd, Civis was proud to be a sponsor and participate in the Greater Chicago Food Depository’s Hackathon to End Hunger. The Hackathon is an annual event that brings the Chicago tech community together to...

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Fairness in Data Science

by Henry H.

Here at Civis, we build a lot of models. Most of the time we’re modeling people and their behavior because that’s what we’re particularly good at, but we’re hardly the only ones doing this — as we enter the age of “big data” more and more industries are applying machine learning techniques to drive person-level decision-making. This comes with exciting...

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Who Do Consumers Really Think Should Win Best Picture at the Oscars? Data Science Has the Answer

by Civis Analytics

With Oscar night fast approaching on Sunday, the question on the minds of movies fans is which of the nine nominated movies will walk away with the Best Picture award. As data scientists, we relish opportunities to test new ways to predict the outcomes of big events like the Academy Awards. Conventional wisdom, which is largely based on the results...

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How We Fine Tuned Lyric Opera’s Marketing Efforts

How We Fine Tuned Lyric Opera’s Marketing Efforts

by Scarlett S.

Like many nonprofits in the arts, Lyric Opera of Chicago faces the familiar challenges of aging audiences, technological disruptions, and changes in cultural consumption. In response, Lyric Opera, one of the leading opera companies in the United States, has innovated in its programming and marketing. Lyric intensified their online presence, creating a new state of the art website and investing...

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Hey, Nonprofits: Win a Chance to Ask America Anything

Hey, Nonprofits: Win a Chance to Ask America Anything

by Ashley L.

Here at Civis Analytics, we have so much to be thankful for. In particular, I’m thankful for the opportunity to work with nonprofits — that’s why I’m excited to announce that starting this Giving Tuesday, we’re accepting entries to the second-annual Ask America Anything contest. We’re giving away two questions on our weekly survey of Americans, as well as an...

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Putting the Power of Campaign Targeting in Your Hands: VoteWithMe

Putting the Power of Campaign Targeting in Your Hands: VoteWithMe

by David S.

A few weeks ago, I was canvassing in New Hampshire to knock on the doors of strangers and ask them to make a plan to vote. See – I’m a data scientist, and I don’t know what you know about data scientists, but we’re not the most extroverted creatures. That’s when I had the idea, “How much more effective would...

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Interpreting and Visualizing Neural Networks for Text Processing

Interpreting and Visualizing Neural Networks for Text Processing

by Michael H.

This post was written by Melissa Roemmele. It highlights a project she worked on during her internship with the Data Science R&D department in Summer 2016. Introduction Neural networks have become the go-to approach for text processing tasks, but they are also notorious for their obscurity. Recently, we applied a neural network to the task of predicting numerical ratings for...

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