# MachineNames_Crosstab1 Analysis generated on: 4/2/2025 10:01:54 AM --- ## SQL Statement ```sql TRANSFORM Count([WC2]) AS [The Value] SELECT [MachineName], Count([WC2]) AS [Row Summary] FROM MachineNames GROUP BY [MachineName] PIVOT [WC2]; ``` ## Dependencies - [[Tables/MachineNames]] ## Parameters - *None* ## What it does **SQL Code Explanation** ========================== ### Table Structure and Data Assumptions This SQL code is assumed to be part of a larger query that operates on a database table named `MachineNames`. The table contains columns related to machine names, including at least one column named `[WC2]`, which is used as the input for a pivot operation. ### Code Breakdown --------------- #### 1. `TRANSFORM Count([WC2]) AS [The Value]` This line transforms the count of values in the `[WC2]` column into a new value with the alias `[The Value]`. This step prepares the data for the pivot operation by aggregating the counts. #### 2. `SELECT [MachineName], Count([WC2]) AS [Row Summary] FROM MachineNames GROUP BY [MachineName]` This section selects the `MachineName` column and aggregates the count of values in the `[WC2]` column using the `GROUP BY` clause. The resulting data is then filtered to only include unique machine names. #### 3. `PIVOT [WC2];` Finally, this line pivots the aggregated counts for each machine name into separate columns based on the original `[WC2]` values. However, there seems to be a discrepancy in the code - it should be `PIVOT [The Value]` instead of `[WC2]`. Assuming the correct code is used: * The pivot operation transforms the aggregated counts into separate column headers. * Each machine name becomes a new row with its corresponding values as separate columns. **Example Output** ----------------- Assuming the original data in `MachineNames` table looks like this: | MachineName | WC2 | |-------------|-----| | Mach1 | 10 | | Mach2 | 20 | | Mach3 | 30 | The transformed output would look something like this: | MachineName | Mach1 | Mach2 | Mach3 | |-------------|-------|-------|-------| | Mach1 | 10 | NULL | NULL | | Mach2 | NULL | 20 | NULL | | Mach3 | NULL | NULL | 30 | In this example, the pivot operation has transformed each machine name into a separate row with its corresponding values as separate columns.