Hi
Is there an easy way to apply a set of rules managed in Excel to a dataset so I don't have to write endless if then else statements?
So using the below table, if any of the values match the input columns, the value in the output column is written.
Thanks very much!
Input | Input | Input | Input | Output | Output |
Product_Type | ext_sdi_status | SDI_Type | Settled_User | Settlement STP/Manual | Source User |
InterestBearing | Default | PREFERRED | Null | STP | N/A |
InterestBearing | Xfer Assigned | PREFERRED | Not Null | Medium | [Settled_User] |
InterestBearing | Xfer Assigned | "NON-PREFERRED" | Medium | [Setled_User] | |
InterestBearing | Manual | MANUAL | High | Setled_User] | |
CASH | Xfer Assigned | PREFERRED | Medium | Setled_User] | |
and so on for 60 odd rules |
Solved! Go to Solution.
Hi @nsarayar
Formulas are data, too! You can use Alteryx to dynamically build the If-then statements from the Excel formula source
The Top branch is your data input without the two output fields. The next Formula tool adds the two output field and sets them to null. The bottom branch is where the If-Then statements are built. There's one sub branch for each of the output fields. The Formula tool builds the clause that corresponds to each row
"[Product_Type]='"+[Product_type] +"' and [ext_sdi_status]='"+[ext_sdi_status] + "' and [SDI_TYPE]='"+[SDI_Type]+ IIF(trim([Settled_User])="", "'", "' and [Settled_User]='"+[Settled_User]+"'")+" Then '"+[Settlement STP/ManualOutput]+"'"
It also adds in extra fields required by the dynamic replace tool. Each of the summarize tools concats all the clauses with the proper Start, Separator and End text to make a valid If-Then statement
The two formulas are then unioned together. The next Dynamic Replace tool is unique in Alteryx in that it's the only tool that can evaluate input data on the R anchor as formulas and apply them to the data coming in the D anchor. When run, you get the results in the two output columns.
The solution is dynamic. When you modify rows in the formula input, the resulting formulas are applied to your input data
Note: The values in your input formula table had trailing spaces in both the source column names and some of the data values. I cleaned these up, so you'll need to be careful when applying this to your real world data.
Dan
Amazing!! thank you @danilang
sorry quick question, how do you account for rules such as NOT and IsNull / Is not Null and NOT Value 1 or Value 2?
and where I have "Settled_User", I actually want to take the value in the "Settled_User" column of the data. So if in the data it says John or Jill, for example, I want it to appear in the output and not the actual text of "[Settled_User]
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