Working with Quantity-Valued Time Series

Analyze temperature variability at a given location.

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data = WeatherData[ Entity["City", {"Champaign", "Illinois", "UnitedStates"}], "Temperature", {{2016, 3, 20}, {2016, 3, 22}}];

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temps = TimeSeries[data, MissingDataMethod -> "Interpolation"]

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Visualize the temperature time series.

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DateListPlot[temps, PlotTheme -> "Detailed"]

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Basic properties.

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stats = {Min, Max, Mean, Median, StandardDeviation}; TableForm[{Map[#[temps] &, stats]}, TableHeadings -> {None, stats}]

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Convert temperatures to degrees Fahrenheit.

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tempsF = UnitConvert[temps, "DegreesFahrenheit"]; TableForm[{Map[#[tempsF] &, stats]}, TableHeadings -> {None, stats}]

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Find the 6-hour moving average.

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avg = MovingMap[Mean, temps, {Quantity[6, "Hours"], Center}]

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DateListPlot[{temps, avg}, PlotLegends -> {"temperatures", "6-hour moving average"}, FrameLabel -> Automatic, PlotTheme -> "Detailed"]

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