Bar Chart

Bar chart to compare values across categories.

Bar Chart


Graph

Creates a bar chart visualization to compare values across different categories. The function takes x and y data inputs and generates a bar chart where values are aggregated and displayed as bars for easy comparison across categories.

Inputs

x
The categorical data for the x-axis representing different categories to be compared
y
The quantitative data for the y-axis representing values to be aggregated and displayed as bar heights

Inputs Types

Input Types
x List, DataSeries, NDArray, DataRecords, DataFrame
y List, DataSeries, NDArray, DataRecords, DataFrame

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

Outputs

x
The processed categorical data used for the x-axis of the bar chart
y
The processed quantitative data used for the y-axis of the bar chart

Outputs Types

Output Types
x List, DataSeries, NDArray, DataRecords, DataFrame
y List, DataSeries, NDArray, DataRecords, DataFrame

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

Options

The Bar Chart brick contains some changeable options:

'x' data field
Specifies the field name to use for x-axis categorical data (default: "x")
'y' data field
Specifies the field name to use for y-axis quantitative data (default: "y")
'y' data aggregation
Determines how y-axis values are aggregated across categories - options include sum, mean, max, min, count or stdev (sample standard deviation)

Brick Info

version v0.1.4
python 3.10, 3.11, 3.12, 3.13
requirements
    -