A quick way to get started with ABS Census 2016 data
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Updated
Mar 31, 2024 - JavaScript
A quick way to get started with ABS Census 2016 data
Create an iterator which iteratively computes a moving minimum absolute value.
Calculate the minimum absolute value of a double-precision floating-point strided array, ignoring NaN values.
Compute the absolute value of each element retrieved from a strided input array via a callback function and assign each result to an element in a strided output array.
Calculate the maximum absolute value of a single-precision floating-point strided array, ignoring NaN values.
Compute a sample absolute Pearson product-moment correlation coefficient.
Calculate the maximum absolute value of a single-precision floating-point strided array.
Calculate the minimum absolute value of a strided array, ignoring NaN values.
Create an iterator which iteratively computes a moving maximum absolute value.
Calculate the cumulative minimum absolute value of double-precision floating-point strided array elements.
Compute moving minimum and maximum absolute values incrementally.
Calculate the minimum absolute value of a single-precision floating-point strided array.
Calculate the sum of absolute values (L1 norm) of double-precision floating-point strided array elements, ignoring NaN values and using ordinary recursive summation.
Create an iterator which iteratively computes a cumulative arithmetic mean of squared absolute values.
Compute the relative difference of two real numbers.
Add a description, image, and links to the abs topic page so that developers can more easily learn about it.
To associate your repository with the abs topic, visit your repo's landing page and select "manage topics."