Canadian Weather Data (1981 - 2020)

Time Interval
Color Mapping
-2.5°C
0
+2.5°C

About this Chart

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:
  • tDeviation = Mean Temperature deviation from Normals
  • tMean = Mean Temperature
  • tMean_Norm = Mean Temperature Normals
  • pDeviation = Mean Precipitation deviation from Normals
  • pMean = Mean Precipitation
  • pMean_Norm = Mean Precipitation Normals

Note: "Province" refers to both provinces and territories.

Data Dimensions & Visual Mapping

DimensionDescriptionTypeScaleVisual Feature
DateYear, MonthQuantitativeIntervalSlider x-position, data loaded into map
ProvinceSelected Province or TerritoryCategoricalNominalData loaded into "Provincial Data" tab. Data encoded into map.
tDeviationAverage Temperature Deviation from Normals, measured in weather stations across selected region & timeframeQuantitative (°C)IntervalColor, label value in Legend
tMeanAverage Temperature, measured in weather stations across selected region & timeframeQuantitative (°C)IntervalColor, label value in Legend
tMean_NormAverage Temperature Normals, measured in weather stations across selected regionQuantitative (°C)IntervalColor, label value in Legend
pDeviationAverage Precipitation Deviation from Normals, measured in weather stations across selected region & timeframeQuantitative (mm)IntervalColor, label value in Legend
pMeanAverage Precipitation, measured in weather stations across selected region & timeframeQuantitative (mm)RatioColor, label value in Legend
pMean_NormAverage Precipitation Normals, measured in weather stations across selected regionQuantitative (mm)RatioColor, label value in Legend

Visualization Design

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.

About this Chart

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.

Data Dimensions & Visual Mapping

DimensionDescriptionTypeScaleVisual Feature
DateYearQuantitative (Year)IntervalMonth of the year is encoded in degrees by which a line's revolution has been completed. Label text.
Temperature AnomalyGlobal Temperature Anomaly, in °C.Quantitative (°C)IntervalLine distance from center. Line color.

Visualization Design

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.