This visualization shows a map of Canada, and allows you to explore weather data at different points in time. Feel free to dive in and explore trends!
Abbreviations:Note: "Province" refers to both provinces and territories.
| Dimension | Description | Type | Scale | Visual Feature |
|---|---|---|---|---|
| Date | Year, Month | Quantitative | Interval | Slider x-position, data loaded into map |
| Province | Selected Province or Territory | Categorical | Nominal | Data loaded into "Provincial Data" tab. Data encoded into map. |
| tDeviation | Average Temperature Deviation from Normals, measured in weather stations across selected region & timeframe | Quantitative (°C) | Interval | Color, label value in Legend |
| tMean | Average Temperature, measured in weather stations across selected region & timeframe | Quantitative (°C) | Interval | Color, label value in Legend |
| tMean_Norm | Average Temperature Normals, measured in weather stations across selected region | Quantitative (°C) | Interval | Color, label value in Legend |
| pDeviation | Average Precipitation Deviation from Normals, measured in weather stations across selected region & timeframe | Quantitative (mm) | Interval | Color, label value in Legend |
| pMean | Average Precipitation, measured in weather stations across selected region & timeframe | Quantitative (mm) | Ratio | Color, label value in Legend |
| pMean_Norm | Average Precipitation Normals, measured in weather stations across selected region | Quantitative (mm) | Ratio | Color, label value in Legend |
This chart was intended as an exciting, interesting visualization, which might be more interesting to an average audience. Particularly important for that is the heavy use of interaction, color and even animation. At the same time, it is also a useful tool to see geographical trends, and it makes for a real concrete representation of weather data. For example, one can quite easily explore how one's region may be impacted differently from other regions.
This visualization shows global temperature anomalies, over time, with each year's month rotating along the center.
Note: This chart builds on and is inspired by this chart by Philip Thomas.
| Dimension | Description | Type | Scale | Visual Feature |
|---|---|---|---|---|
| Date | Year | Quantitative (Year) | Interval | Month of the year is encoded in degrees by which a line's revolution has been completed. Label text. |
| Temperature Anomaly | Global Temperature Anomaly, in °C. | Quantitative (°C) | Interval | Line distance from center. Line color. |
This chart was intended as an exciting, interesting visualization, which might be more interesting to an average audience. Particularly important for that is the heavy use of interaction, color and animation. An interesting factor is that it is a bit unusual to visualize weather data like this, however, it is particularly good at showing the rapid acceleration of warming after the 70s.