Tableau — Hard What is the key challenge when using Tableau’s forecasting feature with sparse or irregular time series data? A Tableau's forecasting cannot be used when the data source contains more than 10,000 rows B Sparse or irregular time series can produce inaccurate forecasts because Tableau's exponential smoothing model assumes regular intervals; missing periods, outliers, or insufficient historical data degrade forecast quality and confidence intervals C Tableau's forecasting only works with annual data and cannot handle monthly or daily time series D Forecasting in Tableau requires a TabPy server connection to function correctly Show explanation
