PolitiNerd
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It's Alive! The Frankenstein Method of Building Candidate Support Models

Strategies for creating candidate support models.

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Introduction to Partisanship Modeling

Introduction to building partisanship models in Python

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Persuasion Analytics and Targeting - Review

Review of Persuasion Analytics and Targeting Class.

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2016 Presidential Election Prediction

Quick prediction for the 2016 Presidential Election.

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My Fellow Americans...

Analyzing National Convention Speeches Using Python and NLTK.

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What Happened to the State House in 2014? - pt3

More election statistics than you can shake a stick at. Part three in a series.

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Winner, Winner, [Rubber] Chicken Dinner

Use the FEC API to find MN's most prolific Congressional fundraiser.

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What Happened to the State House in 2014? - pt2

Part two in a series examining MN State House 2014 election results.

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What Happened to the State House in 2014? - pt1

Part 1 in series examining MN State House 2014 election results.

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About Nick Conti
I am a data analyst living in Minneapolis.

Though I work in banking now, I had my come-up working in political campaign data, beginning as a field organizer and eventually becoming a Statewide Data Director in Michigan. I spent a lot of my time fighting working with Excel but became annoyed with its limitations as I focused more on data analysis. Somewhere along the line, I was introduced to R, then Python, and the rest is history. It was an instant nerd crush and I have been expanding my data programming skills since. This blog is my valentine to the possibilities of what can be accomplished with data.

When not dealing with numbers, I can be found running, biking, and enjoying a beer on a patio.

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