fetch_demographics_es
Fetch Spanish demographic census data given a geographical location in each row.
Using geographical coordinates provided by latitude and longitude columns, enriches the input dataset with a subset of the 2011 Spanish census. See below for the seven features to be added by the step.
Usage
The following example shows how the step can be used in a recipe.
Examples
Examples
Since the step has no configuration parameters, it’s simply
Since the step has no configuration parameters, it’s simply
General syntax for using the step in a recipe. Shows the inputs and outputs the step is expected to receive and will produce respectively. For futher details see sections below.
Inputs & Outputs
The following are the inputs expected by the step and the outputs it produces. These are generally
columns (ds.first_name), datasets (ds or ds[["first_name", "last_name"]]) or models (referenced
by name e.g. "churn-clf").
Inputs
Inputs
Outputs
Outputs
A numeric column containing the percentage of immigrants registered in the area.
A numeric column containing the percentage of married people in the area.
A numeric column containing the average age in the area.
A numeric column containing the average level of education.
A numeric column containing the average size of households in square meters.
A numeric column containing the average number of household members.
A numeric column containing an index in the range 1-9 summarizing the overall quality of the location; lower values being better.
Configuration
The following parameters can be used to configure the behaviour of the step by including them in
a json object as the last “input” to the step, i.e. step(..., {"param": "value", ...}) -> (output).
Parameters
Parameters
This step doesn’t expect any configuration.
fetch_demographics_es
Fetch Spanish demographic census data given a geographical location in each row.
Using geographical coordinates provided by latitude and longitude columns, enriches the input dataset with a subset of the 2011 Spanish census. See below for the seven features to be added by the step.
Usage
The following example shows how the step can be used in a recipe.
Examples
Examples
Since the step has no configuration parameters, it’s simply
Since the step has no configuration parameters, it’s simply
General syntax for using the step in a recipe. Shows the inputs and outputs the step is expected to receive and will produce respectively. For futher details see sections below.
Inputs & Outputs
The following are the inputs expected by the step and the outputs it produces. These are generally
columns (ds.first_name), datasets (ds or ds[["first_name", "last_name"]]) or models (referenced
by name e.g. "churn-clf").
Inputs
Inputs
Outputs
Outputs
A numeric column containing the percentage of immigrants registered in the area.
A numeric column containing the percentage of married people in the area.
A numeric column containing the average age in the area.
A numeric column containing the average level of education.
A numeric column containing the average size of households in square meters.
A numeric column containing the average number of household members.
A numeric column containing an index in the range 1-9 summarizing the overall quality of the location; lower values being better.
Configuration
The following parameters can be used to configure the behaviour of the step by including them in
a json object as the last “input” to the step, i.e. step(..., {"param": "value", ...}) -> (output).
Parameters
Parameters
This step doesn’t expect any configuration.