The profile information for an integer type field.

## Attributes

• `average` (type: `float()`, default: `nil`) - Average of non-null values in the scanned data. NaN, if the field has a NaN.
• `max` (type: `String.t`, default: `nil`) - Maximum of non-null values in the scanned data. NaN, if the field has a NaN.
• `min` (type: `String.t`, default: `nil`) - Minimum of non-null values in the scanned data. NaN, if the field has a NaN.
• `quartiles` (type: `list(String.t)`, default: `nil`) - A quartile divides the number of data points into four parts, or quarters, of more-or-less equal size. Three main quartiles used are: The first quartile (Q1) splits off the lowest 25% of data from the highest 75%. It is also known as the lower or 25th empirical quartile, as 25% of the data is below this point. The second quartile (Q2) is the median of a data set. So, 50% of the data lies below this point. The third quartile (Q3) splits off the highest 25% of data from the lowest 75%. It is known as the upper or 75th empirical quartile, as 75% of the data lies below this point. Here, the quartiles is provided as an ordered list of approximate quartile values for the scanned data, occurring in order Q1, median, Q3.
• `standardDeviation` (type: `float()`, default: `nil`) - Standard deviation of non-null values in the scanned data. NaN, if the field has a NaN.

# Summary

## Functions

Unwrap a decoded JSON object into its complex fields.

# t()

View Source
```@type t() ::
average: float() | nil,
max: String.t() | nil,
min: String.t() | nil,
quartiles: [String.t()] | nil,
standardDeviation: float() | nil
}```

# Functions

`@spec decode(struct(), keyword()) :: struct()`