Temporal Datasets
- One attrib+ has a timestamp (at any level)
- Granularity ("Year/Month/Day" vs "Year/Month/Day Hour")
- Sometimes is Cyclic
- Seasonality
Idiom: Line chart
- Data: Table, many timelines
- Tasks: Compare trends and similarities (with many), locate outliers
- Visual Representation: Line, vertical position, color hue
- Considerations:
- Time usually goes from left to right
idiom: Horizon charts
- Data: Table, many timelines
- Tasks: Compare trends and similarities (with many), locate outliers
- Visual Representation: Line, vertical position, color luminosity (quant divergent)
- Considerations: Uses much less space
idiom: Calendar view
- Data: Table (years), one timeline
- Tasks: Compare trends (by days of the week, month, year), locate outliers
- Visual Representation: Shape, vertical/horizontal position, color hue
- Considerations: Natural view for humans, focus on common time aggregations
idiom: Radial timelines
- Data: Table (years), one timeline
- Tasks: Compare trends (by days of the week, month, year), locate outliers
- Visual Representation: Line, Radial position, color hue (rainbow :( )
- Considerations: Appeals to cyclic nature of time
Gant charts
- Data: Two time attribs (start end)
- Tasks: Summarize duration (features), compare events, identify intersections/dependencies
- Visual Representation: Line, express for time, separate/order/aligned for tasks, color hues
Common Derives/Tricks for Temporal data