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-`build_time_series` constructs a pd.Series for a given StatisticalVariable and Place, where the time series are indexed by date.
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-`build_time_series_dataframe` constructs a pd.DataFrame for a given StatisticalVariable and a set of Places. The DataFrame will have Places as the index and dates as the columns.
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-`build_covariate_dataframe` constructs a covariate pd.DataFrame for a set of StatisticalVariables and a set of Places. The DataFrame will have Places as index and StatisticalVariables as the columns. The values are the most recent values for the chosen StatVarObservation options.
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-`build_multivariate_dataframe` constructs a pd.DataFrame for a set of StatisticalVariables and a set of Places. The DataFrame will have Places as index and StatisticalVariables as the columns. The values are the most recent values for the chosen StatVarObservation options.
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For multi-place functions, when a StatisticalVariable has multiple StatVarObservation options,
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Data Commons chooses a set of StatVarObservation options that covers the most geos. This
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Data Commons chooses a set of StatVarObservation options that covers the most places. This
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ensures that the data fetched for a StatisticalVariable is comparable across places.
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When there is a tie, we select the StatVarObservation options set with the latest date
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