A quick way to get started with ABS Census 2016 data
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Updated
Jan 21, 2025 - JavaScript
A quick way to get started with ABS Census 2016 data
Calculate the sum of absolute values (L1 norm) of double-precision floating-point strided array elements using pairwise summation.
Calculate the minimum absolute value of a double-precision floating-point strided array, ignoring NaN values.
Calculate the cumulative minimum absolute value of single-precision floating-point strided array elements.
Calculate the sum of absolute values (L1 norm) of double-precision floating-point strided array elements, ignoring NaN values.
Compute the absolute value for each element in an input array.
Create an iterator which iteratively computes a cumulative arithmetic mean of absolute values.
Compute the absolute value of a double-precision floating-point number.
Compute the arithmetic mean of squared absolute values for all iterated values.
Calculate the maximum absolute value of a single-precision floating-point strided array.
Compute the arithmetic mean of absolute values for all iterated values.
Compute a sample absolute Pearson product-moment correlation coefficient.
Compute a moving minimum absolute value incrementally.
Calculate the maximum absolute value of a strided array according to a mask.
Create an iterator which iteratively computes a moving minimum absolute value.
Compute the range of absolute values along one or more ndarray dimensions.
Add a description, image, and links to the abs topic page so that developers can more easily learn about it.
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