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Release 8.2.2


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This example illustrates how you can apply statistical functions to your dataset. Calculations include average (mean), max, min, standard deviation, and variance.

Source:

Students took a test and recorded the following scores. You want to perform some statistical analysis on them:

StudentScore
Anna84
Ben71
Caleb76
Danielle87
Evan85
Faith92
Gabe85
Hannah99
Ian73
Jane68

Transformation:

You can use the following transformations to calculate the average (mean), minimum, and maximum scores:

Transformation Name New formula
Parameter: Formula type Single row formula
Parameter: Formula AVERAGE(Score)
Parameter: New column name 'avgScore'

Transformation Name New formula
Parameter: Formula type Single row formula
Parameter: Formula MIN(Score)
Parameter: New column name 'minScore'

Transformation Name New formula
Parameter: Formula type Single row formula
Parameter: Formula MAX(Score)
Parameter: New column name 'maxScore'

To apply statistical functions to your data, you can use the VAR and STDEV functions, which can be used as the basis for other statistical calculations.

Transformation Name New formula
Parameter: Formula type Single row formula
Parameter: Formula VAR(Score)
Parameter: New column name var_Score

Transformation Name New formula
Parameter: Formula type Single row formula
Parameter: Formula STDEV(Score)
Parameter: New column name stdev_Score

For each score, you can now calculate the variation of each one from the average, using the following:

Transformation Name New formula
Parameter: Formula type Single row formula
Parameter: Formula ((Score - avg_Score) / stdev_Score)
Parameter: New column name 'stDevs'

Now, you want to apply grades based on a formula:

Gradestandard deviations from avg (stDevs)
AstDevs > 1
BstDevs > 0.5
C-1 <= stDevs <= 0.5
DstDevs < -1
FstDevs < -2

You can build the following transformation using the IF function to calculate grades.

Transformation Name New formula
Parameter: Formula type Single row formula
Parameter: Formula IF((stDevs > 1),'A',IF((stDevs < -2),'F',IF((stDevs < -1),'D',IF((stDevs > 0.5),'B','C'))))

For more information, see IF Function.

To clean up the content, you might want to apply some formatting to the score columns. The following reformats the stdev_Score and stDevs columns to display two decimal places:

Transformation Name Edit column with formula
Parameter: Columns stdev_Score
Parameter: Formula NUMFORMAT(stdev_Score, '##.00')

Transformation Name Edit column with formula
Parameter: Columns stDevs
Parameter: Formula NUMFORMAT(stDevs, '##.00')

Transformation Name New formula
Parameter: Formula type Single row formula
Parameter: Formula MODE(Score)
Parameter: New column name 'modeScore'

Results:

StudentScoremodeScoreavgScoreminScoremaxScorevar_Scorestdev_ScorestDevsGrade
Anna8485826899

87.00000000000001

9.330.21C
Ben718582689987.000000000000019.33-1.18D
Caleb768582689987.000000000000019.33-0.64C
Danielle878582689987.000000000000019.330.54B
Evan858582689987.000000000000019.330.32C
Faith928582689987.000000000000019.331.07A
Gabe858582689987.000000000000019.330.32C
Hannah998582689987.000000000000019.331.82A
Ian738582689987.000000000000019.33-0.96C
Jane688582689987.000000000000019.33-1.50D

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