# Class IntegerFieldInfo (2.0.0)

``IntegerFieldInfo(mapping=None, *, ignore_unknown_fields=False, **kwargs)``

The profile information for an integer type field.

## Attributes

Name Description
`average` `float`
Average of non-null values in the scanned data. NaN, if the field has a NaN.
`standard_deviation` `float`
Standard deviation of non-null values in the scanned data. NaN, if the field has a NaN.
`min_` `int`
Minimum of non-null values in the scanned data. NaN, if the field has a NaN.
`quartiles` `MutableSequence[int]`
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.
`max_` `int`
Maximum of non-null values in the scanned data. NaN, if the field has a NaN.
[{ "type": "thumb-down", "id": "hardToUnderstand", "label":"Hard to understand" },{ "type": "thumb-down", "id": "incorrectInformationOrSampleCode", "label":"Incorrect information or sample code" },{ "type": "thumb-down", "id": "missingTheInformationSamplesINeed", "label":"Missing the information/samples I need" },{ "type": "thumb-down", "id": "otherDown", "label":"Other" }]
[{ "type": "thumb-up", "id": "easyToUnderstand", "label":"Easy to understand" },{ "type": "thumb-up", "id": "solvedMyProblem", "label":"Solved my problem" },{ "type": "thumb-up", "id": "otherUp", "label":"Other" }]