Recently I came across a chart that showed the total for both the selected and unselected values. It’s actually very simple to create but did take a bit of thought to begin.
We want the values NOT selected to remain within the view. A standard filter removes the values completely. Therefore the unselected values must be calculated before the filter is applied. Read more…
Using MS Access in conjunction with Tableau isn’t always a painless experience, especially when it comes to the Access query. You might notice your Access query doesn’t appear in Tableau for you to choose. Alternatively you might find an Access query that returns records in Access returns zero records in Tableau.
All of this happens without any explanation, it’s a frustrating head-scratching moment. This article might help solve your problem.
My working Access query doesn’t return any records in Tableau
From my testing if there was a LIKE statement in the WHERE clause this caused Tableau to return no records. The query did appear in the Tableau table list but returned zero records. Options are: Read more…
The “Cannot use boolean type in IF expression” error in Tableau calculated fields is quite self-explanatory. You’re not able to use fields that return true or false (i.e. boolean type) with IF statements in Tableau.
However there is a workaround. In many programming languages True or False can be represented as 1 or 0. Tableau recognises 1 and 0 as integers – therefore the way to get around the boolean type error is to wrap the boolean fields in INT().
For example create a simple calculated field with the formula 1=1, which is a boolean type.
Next create a calculated field with an IF statement using the field, deliberately creating the Cannot use boolean type error.
Converting the boolean field to an integer will remove this error.
Data Quality is now a rapidly growing area in many Financial Services organisations. There are multiple vendors, such as Informatica and Ab Initio, with software specifically marketed as a data quality tool. Undoubtedly they are both great products, however they are expensive, in all likelihood in the majority organisations would take significant time before they are approved for purchase.
This is where Alteryx can step in, it’s a great tool to very quickly implement a data quality solution. The price point will not deter the majority of FS organisations and the ongoing administration is not an expensive burden.
Most data quality checks are highly specific, hence are bespoke and unable to be standardised. A business rule against a specific data point in a specific data set is a unique check. For example in the financial services world there are a number of rules defining an ISIN. Depending on the country code (first 2 letters of the ISIN) the remainder of the ISIN could have a specific format and a relationship to other data points, such as a CUSIP.
For something as simple as an ISIN there are actually many specific business rules to identify whether it is correct. In the data quality world each business rule is another quality check. These quality checks all require writing to mirror the business rules.
From the technical perspective Data Quality is actually an ETL process.
- Extraction: the source data needs to be sourced and brought into the quality check
- Transformation: the business rule check, transforming the source data into a check result
- Load: the capture of the results
In Alteryx terms a workflow can hold a number of checks against the same data set. A data set is Input to the workflow, the business rules are written using Formula tools and the results are Output.
Significantly accelerate the writing of quality checks by creating an appropriate Data Quality Check template workflow in Alteryx. The inputs and checks (formula tools) are easily modified and the outputs should be standardised for streamlined reporting of the results.
Using Alteryx the technical side and automation of Data Quality checking can be achieved very quickly. Get in touch if you would like to learn more about our tactical Data Quality solution.
Back in 2012, I wrote a post describing an overly complex way to add ‘All’ to a parameter in Tableau. It is surprisingly simple to add All to a parameter if using the parameter to select a value from a dimension.
First create a patameter and add the values from the field and the value All.
Next create a calculated field to use the parameter. The generic formula to use ‘All’ in a Tableau parameter is:
[Parameter] = ‘All’ OR [Parameter] = [DimensionName]
The following is a very simple example based on the Superstore data. In this example the Segment is selected from a parameter, called SegmentParameter. Read more…
In previous posts I’ve written about how to use the Run Command tool in Alteryx to publish a tableau extract to tableau server and how to unzip a file in Alteryx. Another great use for the Alteryx Run Command tool is to move and copy files.
To move files from a directory into another directory the following information is required:
- File path of file to move
- Destination directory
Set up the workflow in the following way:
1. Enter the above fields in a Text Input tool, creating the fields FullPath and DestinationDirectory
Note: The backslash at the end of the DestinationDirectory is very important. Without that a new file would be created called Engine in D:\Alteryx. Read more…
If you come across the tabcmd error code 16, Invalid username or password, it’s likely the error is caused by a special character in the password. For example %1 is interpreted by Tableau as a parameter. In the command line it should be converted to %%1, with the preceding % acting as an escape character.
Another special character Tableau can’t interpret is #. I was unable to find an escape character for that so just changed the password to make tabcmd work for the user with that password.
If anyone knows better ways around this than changing the password please write in the comments.
I question often seen on the Alteryx forums is how to unzip a file in Alteryx.
In an earlier post I covered how to use the Alteryx Run Command tool to publish a Tableau Data Extract to the Tableau Server in an Alteryx workflow using TabCmd.
This post is similar but is showing how to unzip using the Run Command. The Run Command tool is able to call exe programs, meaning anything possible by exe is possible within Alteryx.
Credit to this solution needs to be given to jdunkerley79 who supplied the solution in the Alteryx forum: http://community.alteryx.com/t5/Data-Preparation-Blending/Can-Alteryx-unzip-a-file-as-part-of-the-workflow/td-p/10604
The first thing to do is install software to unzip. Currently I’m using 7-zip (http://www.7-zip.org/). This can be called via the command prompt.
Next is how to use this in Alteryx: Read more…
One of the things I often read about on the Alteryx forums is people asking how to publish to Tableau Server from Alteryx. Previously I wrote a post about publishing to Tableau Server from Alteryx using the Events functionality. A downside of this is the timing of the publish to Tableau – it either happens before or after the workflow has run. To publish to Tableau server from within an Alteryx module the Run Command tool can be used, meaning publishing from Alteryx to Tableau Server can happen from anywhere within the worklow. Read more…
Installing the Alteryx non admin version was a slight challenge as I couldn’t find the right link simply from the Alteryx home page.
Therefore here is a link taking you to the page containing the latest admin and non admin versions of Alteryx: http://downloads.alteryx.com/downloads.html