In the town of Circleville, citizens are allowed to maintain a single crop circle in their backyard, as long as it confirms to the town regulations. Below is some data on the size of crop circles in town, with a separate entry for each home. Limits are displayed in the adjacent columns, with the
inclusive columns indicating whether the minimum or maximum values are inclusive.
Tip: As part of this exercise, you can see how to you can extend your recipe to perform some simple financial analysis of the data.
After the data is loaded into the Transformer page, you can begin comparing column values:
While accurate, the above transform does not account for the
minInclusive value, which may be changed as part of your steps. Instead, you can delete the previous transform and use the following, which factors in the other column:
In this case, the
IF function tests whether the minimum value is inclusive (values of
10 are allowed). If so, the
LESSTHANEQUAL function is applied. Otherwise, the
LESSTHAN function is applied. For the maximum limit, the following step applies:
Now, you can do some analysis of this data. First, you can insert a column containing the amount of the fine per foot above the maximum or below the minimum. Before the first
derive command, insert the following, which is the fine (
$15.00) for each foot above or below the limits:
At the end of the recipe, add the following new line, which calculates the fine for crop circles that are too small:
The above captures the too-small violations. To also capture the too-big violations, change the above to the following:
In place of the original "false" expression (
0.0), the above adds the test for the too-big values, so that all fines are included in a single column. You can reformat the
fine_Dollars column to be in dollar format:
After you drop the columns used in the calculation and move the remaining ones, you should end up with a dataset similar to the following:
Now that you have created all of the computations for generating these values, you can change values for
fineDollarsPerFt to analyze the resulting fine revenue. Before or after the transform where you set the value for
fineDollarsPerFt, you can insert something like the following:
After the step is added, select the last line in the recipe. Then, you can see how the values in the
fineDollars column have been updated.
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