1. A method in a host organization, the method comprising: receiving a tabular dataset from a user as input, the tabular dataset having data values organized as columns and rows; identifying a plurality of null values within the tabular dataset, the null values being dispersed across multiple rows and multiple columns of the tabular dataset; generating indices from the tabular dataset of columns and rows, the indices representing probabilistic relationships between the rows and the columns of the tabular dataset; displaying the tabular dataset as output to the user, the displayed output including the data values depicted as known values and the null values depicted as unknown values; receiving input from the user to populate at least a portion of the unknown values within the displayed tabular dataset with predicted values; querying the indices for the predicted values; receiving a confidence indicator for every one of the plurality of null values within the tabular dataset responsive to querying the indices for the predicted values, the confidence indicator based on a comparison of known results corresponding to known and non-null values within the dataset with the predicted values; and displaying the predicted values as updated output to the user, wherein displaying the predicted values as updated output to the user comprises displaying selected ones of the predicted values that correspond to the confidence indicator being in excess of a default minimum confidence threshold or a user specified minimum confidence threshold when present.
1. A method in a host organization, the method comprising: receiving a tabular dataset from a user as input, the tabular dataset having data values organized as columns and rows; identifying a plurality of null values within the tabular dataset, the null values being dispersed across multiple rows and multiple columns of the tabular dataset; generating indices from the tabular dataset of columns and rows, the indices representing probabilistic relationships between the rows and the columns of the tabular dataset; displaying the tabular dataset as output to the user, the displayed output including the data values depicted as known values and the null values depicted as unknown values; receiving input from the user to populate at least a portion of the unknown values within the displayed tabular dataset with predicted values; querying the indices for the predicted values; receiving a confidence indicator for every one of the plurality of null values within the tabular dataset responsive to querying the indices for the predicted values, the confidence indicator based on a comparison of known results corresponding to known and non-null values within the dataset with the predicted values; and displaying the predicted values as updated output to the user, wherein displaying the predicted values as updated output to the user comprises displaying selected ones of the predicted values that correspond to the confidence indicator being in excess of a default minimum confidence threshold or a user specified minimum confidence threshold when present. 18. The method of claim 1 , further comprising: displaying a prediction difficulty score for every column of the tabular dataset displayed as output to the user on a per-column basis, wherein the prediction difficulty score is calculated for each column of the tabular dataset by: (i) identifying all unknown values within the column; (ii) querying the indices for a predicted value corresponding to each of the unknown values identified within the column; (iii) receiving the confidence indicator for each of the unknown values identified within the column; and (iv) calculating the prediction difficulty score for the column based on the confidence indicators received for the unknown values identified within the column.