How to Group Multidimensional Array Data by Multiple Columns and Sum Column Values?

Group Multidimensional Array Data Based on Multiple Column Values and Sum Column Values

In this scenario, we have a multidimensional array that contains data from two different databases, potentially with different schemas. The task is to group this array by two specific column values, 'part' and 'type', while also summing the values in the 'count' column for each group.

To approach this problem, we first need to understand how multidimensional arrays are structured. Each element in the array is an associative array, meaning it has key-value pairs. In our case, the keys represent the column names, and the values are the data for that particular row.

With this knowledge, we can devise a solution that iterates through the array and processes each row. For each row, we create a new element in a result array that represents the group the row belongs to. The group is identified by the 'part' and 'type' values of the row.

Within each group, we need to keep track of the total 'count' for that group. If the group element already exists, we simply add the 'count' value to its current total. Otherwise, we initialize the 'count' value to zero and add the 'count' value to it.

The function provided in the answer effectively accomplishes this task by creating an array of array elements that represent each group, with the 'part', 'type', and 'count' values representing the grouped data.

By following these steps, we can effectively group multidimensional array data based on multiple column values and sum the values in a specified column within each group.

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