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Compute the symmetric difference of arrays using lodash _.xor
Details
Return values that appear in only one of the provided arrays.
Highlights:
_.xorExample:
[1, 2, 3][2, 3, 4][1, 4]Execution
Fill in the form, run the tool, and review the result in one place.
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Tool usage guide
The Xor Arrays tool allows you to quickly compute the symmetric difference between multiple datasets by identifying values that appear in exactly one of the provided JSON arrays.
Background
I have two lists of user IDs from different departments and need to see which users are not shared between them.
Problem
Manually checking hundreds of IDs for discrepancies is prone to human error.
How to use
Paste the first list into Array 1 and the second list into Array 2, then run the tool.
Array 1: [101, 102, 103], Array 2: [102, 103, 104]Outcome
The tool returns [101, 104], highlighting the IDs that are unique to each list.
Background
I need to find which products are listed in my warehouse system but missing from my online store catalog.
Problem
Identifying non-matching product SKUs across two separate JSON exports.
How to use
Input the warehouse SKU array and the online store SKU array to isolate the differences.
A symmetric difference consists of elements that are in either of the sets, but not in their intersection.
You can compare between 2 and 4 JSON arrays simultaneously.
Inputs must be valid JSON arrays, such as [1, 2, 3] or ["apple", "banana"].
No, the symmetric difference operation is commutative, so the order of the arrays does not change the result.
The tool processes the arrays based on the behavior of lodash _.xor, which focuses on the presence of values across the provided sets.
Array 1: ["SKU-A", "SKU-B"], Array 2: ["SKU-B", "SKU-C"]Outcome
The tool returns ["SKU-A", "SKU-C"], showing which items are not present in both systems.