Field Statistics

InsightMaker.stats(fields=None, datasets=None)

Parameters:

Name	Type	Description
fields	list	Optional - List of Fields objects or strings for field ids. If not provided, all fields are used.
datasets	list	Optional - List of Dataset objects or strings for dataset ids. If not provided, all fields are used.

Response:

A Stats object, either

Cast as DataFrame

Stats.to_data_frame()

Returns the field stats displayed in Pandas DataFrame format

Iterate over multiple FieldStats objects, methods:

• FieldStats.id() String, Field ID

• FieldStats.name() String, Field name

• FieldStats.data_type() Python type object, the Python type for this field (str, datetime, int or float)

• FieldStats.total() The total number of occurrences of this field

• FieldStats.percentage() The total occurrences of this field as a percentage of the overall dataset(s)

• FieldStats.top_values() Return a list of (top value, value count) for this field (or NaN if inappropriate)

• FieldStats.max() Maximum value of this field.

• FieldStats.min() Minimum value of this field.

• FieldStats.average() Average value of this field (mean).

• FieldStats.to_dict() The raw json from the REST response as a python dictionary.

Example:

stats = im.stats(datasets = "sharepoint")
# stats can be parsed as a DataFrame for ease of exploration
stats_df = stats.to_data_frame()
print(stats_df)