...

1. When the data is imported, you may need to create a header for each row:
   
   

   d-

   code

   showNote	true

   header

   trans
   Type step p01Name Option p01Value Use row as header p02Name Row p02Value 1 SearchTerm Rename columns with a row

2. The columns containing heat time data may need to be retyped. From the drop-down next to each column name, select Decimal type.

3. The DQ value in the Heat2 column is invalid data for Decimal type. You can use the following transform to turn it into a missing value. For purposes of calculating averages, you may or may not want to turn invalid data into zeroes or blanks. In this case, replacing the data as 0.00 causes improper calculations for the metrics.
   

   d-

   code

   hideNote	true

   replace col:Heat2 with:'' on:'DQ'

    

   trans
   p03Value '' Type step p01Name Column p01Value Heat2 p02Name Find p02Value 'DQ' p03Name Replace with SearchTerm Replace text or patterns

   
   

4. Use the following to gather all of the heat data into two columns:
   

   d-

   code

   hideNote	true

   unpivot col:

   trans
   Type step p01Name Columns p01Value Heat1,Heat2,Heat3 p02Name Group size p02Value 1 SearchTerm Unpivot columns

   
   

5. You can now rename the two columns. Rename key to HeatNum and value to HeatTime.

6. You may want to delete the rows that have a missing value for HeatTime:
   

   d-

   code

   hideNote	true

   delete row:

   trans
   Type step p01Name Condition p01Value ISMISSING([value]) SearchTerm Delete rows

   
   

7. You can now perform calculations on this column. The following transforms calculate minimum, average (mean), and maximum times for each racer:
   

   d-

   code

   hideNote	true

   derive type:single value:MIN(HeatTime) group:Racer as:'BestTime'

   D code
   hideNote true
   derive type:single value:AVERAGE(HeatTime) group:Racer as:'AvgTime'

   D code
   hideNote true
   derive type:single value:MAX(HeatTime) group:Racer as:'WorstTime'

   trans
   p03Value Racer Type step p01Name Formula type p01Value Multiple row formula p02Name Formula p02Value MIN(HeatTime) p03Name Group rows by p04Value 'BestTime' p04Name New column name SearchTerm New formula

   
   
   

   D trans
   p03Value Racer Type step p01Name Formula type p01Value Multiple row formula p02Name Formula p02Value AVERAGE(HeatTime) p03Name Group rows by p04Value 'AvgTime' p04Name New column name SearchTerm New formula

   D trans
   p03Value Racer Type step p01Name Formula type p01Value Multiple row formula p02Name Formula p02Value MAX(HeatTime) p03Name Group rows by p04Value 'WorstTime' p04Name New column name SearchTerm New formula

    

8. To make the data look better, you might want to reformat the values in the AvgTime column to two decimal points:
   

   d-

   code

   hideNote	true

   set col:AvgTime value:

   trans
   Type step p01Name Columns p01Value AvgTime p02Name Formula p02Value NUMFORMAT(AvgTime, '##.00') SearchTerm Edit column with formula

Results:

After you use the move transform to re-organize your columns, the dataset should look like the following:

...