Approaches for working with data that changes over time

Ian Johnson

Mike Freeman

These are stories about analyzing data that changes over time - data that spikes or dips, that diverge from forecasts, and have seasonal patterns. We hope that this will spark an idea about how to look at your own data in a new way. 

Observable

Analyzing Time Series Data

What’s different? Analyzing Time-Series Forecast Performance

What caused this? An analysis adventure

Discovering Date Patterns

Just because it’s Time, it doesn’t have to be a Line

Correlation over time

Workshop Materials: Analyzing Time Series Data

EIA Electricity Data

NOAA Hourly Weather Data

IEEE VIS 2021 Demo

Three Simple, Flexible Tools: Color, Faceting, and Order

PublicAnalyzing Time Series Data

Public
Analyzing Time Series Data