Scatter Plots (DP_SCP)

This function creates scatter plots for pairs of columns in a given input dataset. Scatter plots are a useful visualization tool for examining the relationship between two variables.

Scatter plots are a type of data visualization that display the relationship between two variables. Each point on the plot represents a pair of values for the two variables being compared. Scatter plots are useful for identifying patterns or trends in data, and for detecting outliers or unusual observations.

To create a scatter plot, you need to specify the x and y values to be plotted. These values can be provided in the form of arrays or data frames. You can also choose to display a grid on the plot by setting the "is_grid" parameter to true.

Sample Request

{
    "project_id": 1,
    "block_id": ,
    "parent_id": 0,
    "function_code": "DP_SCP",
    "args": {
        "xvalue": "http://cloud.autogonai.s3.amazonaws.com/143ac49a-7bbc-4224-a58e-d6811930b86b.csv",
        "yvalue": "http://cloud.autogonai.s3.amazonaws.com/1a65c19c-b891-4be3-bbfe-ed5c5ec58207.csv",
        "is_grid": true

    }
}

Parameter Details

Scatter Plots

POST https://autogon.ai/api/v1/engine/start

Request Body

Name	Type	Description
project_id*	int	current project ID
parent_id*	int	parent block ID
block_id*	int	current block ID
function_code*	String	block's function code
xvalue*	String	The input data representing the x-axis values. This can be a string representing a URL to a CSV file.
args	object	block arguments
yvalue*	String	The input data representing the y-axis values. This can be a string representing a URL to a CSV file.
is_grid	Bool	Whether to enable grid in the scatter plot. Default is False.

200: OK Data Encode Successful

{
    "status": "true",
    "message": {
        "id": 3,
        "project": 1,
        "block_id": 7,
        "parent_id": 6,
        "dataset_url": "",
        "x_value_url": "",
        "y_value_url": ""
    }
}

Python

// Some code

Node