Explore data analysis techniques and investigative journalism principles in this 38-minute Strange Loop Conference talk by Nicola Hughes. Discover how to uncover valuable insights from both big data and small data outliers. Learn to differentiate between bugs in data collection and unique user behaviors. Gain expertise in isolating human behavior patterns, developing a healthy skepticism towards data, and applying investigative journalism techniques to data interrogation. Follow Hughes' journey from investigative data journalist to developer as she shares lessons from high-profile cases like the Iraq War Logs and FIFA Files. Understand the importance of zooming into small data sets and how to build interactive visualizations. Examine real-world examples of data anomalies in government contracts, prescriptions, and census data. Master the art of distinguishing between bugs and legitimate stories in data analysis, and learn to apply linear regression for predictions.
Overview
Syllabus
Intro
Nicolas background
Nicolas story
Government contracts
Is it a bug
The FIFA files
Who thinks this is a story
This is actually a bug
This is a USbased story
Building an interactive
A legitimate story
Large agribusinesses
Naming companies
Prescriptions data
Its a bug
Individual doctors surgery
Census data
Predictions
Linear regression
Is it a story
Taught by
Strange Loop Conference
