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
-
-