Returns a data frame with summary statistics (unique count, mean, standard deviation, min, lower quartile, median, upper quartile, max) for each numerical column of the input frame. Only columns convertible to float are included; the row keys of the result are the statistic names ("unique", "mean", "std", "min", "0.25", "0.5", "0.75", "max").

For each numerical column, returns the kurtosis of the values in a series. The function skips over missing values and `NaN` values. When there are less than 4 values, the result is NaN.

For each numerical column, returns the maximal values as a series. The function skips over missing and `NaN` values. When there are no values, the result is `NaN`.

For each numerical column, returns the mean of the values in the column. The function skips over missing values and `NaN` values. When there are no available values, the result is NaN.

For each numerical column, returns the median of the values in the column.

For each numerical column, returns the minimal values as a series. The function skips over missing and `NaN` values. When there are no values, the result is `NaN`.

For each numerical column, returns the skewness of the values in a series. The function skips over missing values and `NaN` values. When there are less than 3 values, the result is NaN.

For each numerical column, returns the standard deviation of the values in the column. The function skips over missing values and `NaN` values. When there are less than 2 values, the result is NaN.

For each numerical column, returns the sum of the values in the column. The function skips over missing values and `NaN` values. When there are no available values, the result is 0.

For each column, returns the number of unique values.

For each numerical column, returns the variance of the values in the column. The function skips over missing values and `NaN` values. When there are less than 2 values, the result is NaN.