A quick way to get started with ABS Census 2016 data
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Updated
Jan 21, 2025 - JavaScript
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A quick way to get started with ABS Census 2016 data
Compute the arithmetic mean of absolute values for all iterated 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 maximum absolute value of a single-precision floating-point strided array, ignoring NaN values.
Compute an arithmetic mean of squared absolute values incrementally.
Create an iterator which iteratively computes a cumulative arithmetic mean of absolute values.
Compute a sum of absolute values incrementally, 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.
Compute a sum of absolute values incrementally.
Compute a moving maximum absolute value incrementally.
Create an iterator which iteratively computes a cumulative sum of absolute values.
Calculate the minimum absolute value of a double-precision floating-point strided array, ignoring NaN values.
Create an iterator which iteratively computes a moving minimum absolute value.
Calculate the sum of absolute values (L1 norm) of double-precision floating-point strided array elements, ignoring NaN values and using ordinary recursive summation.
Compute moving minimum and maximum absolute values incrementally.
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."