Histogram

Histogram showing numeric data distribution as binned frequency counts.

Histogram

Processing

This function generates a histogram visualization showing the distribution of numeric data as binned frequency counts, based on the provided input data.

Inputs

values
The data source containing the numeric values to be analyzed and visualized.

Inputs Types

Input Types
values List, DataSeries, NDArray, DataRecords, DataFrame

You can check the list of supported types here: Available Type Hints.

Outputs

values
The original input data is passed through the brick unchanged after the visualization is generated.

Outputs Types

Output Types
values List, DataSeries, NDArray, DataRecords, DataFrame

You can check the list of supported types here: Available Type Hints.

Options

The Histogram brick contains some changeable options:

Values field
Specifies the column or field name within the input data (values) that contains the numeric data used for generating the histogram. (Default: values).
Values max bins
Determines the maximum number of bins used when aggregating the numeric data for the frequency count visualization. (Default: 40, Range: 5 to 300).

Brick Info

version v0.2.0
python 3.10, 3.11, 3.12, 3.13
requirements
    -