A new interactive dashboard for targeting MN State House races and exploring past results.

Finding influential Twitter users in your network.

Strategies for creating candidate support models.

Introduction to building partisanship models in Python

Review of Persuasion Analytics and Targeting Class.

Quick prediction for the 2016 Presidential Election.

Analyzing National Convention Speeches Using Python and NLTK.

Learn how to build an interactive election explorer in R.

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

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