Alteryx Designer Desktop Ideas

I work with data where milliseconds is my saviour when I count distinct the datetime to get number of events. Alteryx ignores the millisecond part (as lots of other BI tool providers - I don't know what is going on with this idea that milliseconds are not needed). Yes I can convert it to string but it's not the best practice to create duplicate fields just so that I have date part for date-related calculation (plotting, time difference) and on the other hand string value for quick and easy counting..

Add the remove or add Prefix or Suffix Feature on the Summary Tool because this is where the prefix is added automatically by the Summary tool, so instead of adding a new select tool after the Summary tool to remove the prefix. why not to embed it with the summary tool it self. 

Hello --

Many times, I want to summarize data by grouping it, but to really reduce the number of rows, some data needs to be concatenated.

The problem is that some data that is group is repeated and concatenating the data will double, triple, or give a large field of concatenated data.

As an example:

Name                                         State

The above, if we concatenate by State would look like:

What I propose is a new option called Concatenate Unique so I would get:

This would prevent us from having to use a Regex formula to make the column unique.

Thanks,

Seth

I would love to see a "Product" option added to the summarize tool. I can currently count, sum, mean etc., but I can't multiply my data while grouping. There are numerous "work arounds", but a native product function built into the summarize tool would be great.

Thanks for listening!

The crosstab tool replaces any non-alphanumeric characters with underscores in column names. It would be helpful to keep the original values as column names (or to have the option to toggle whether or not special characters are replaced with underscores).

This is often an issue for reporting and for dynamically-populated app inputs (e.g. drop-down), where we need to retain the special characters.

For example, say I have the following dataset: 

Currently, the crosstab tool produces this:

I would like this:

There are currently (somewhat cumbersome) workarounds such as adding an extra row with the original names, and then using Dynamic Rename to rename the columns, but it would be great to be able to use the data straight out of the crosstab!

Hello Alteryx Devs - 

When I got to write some scripting in the formula tool, my data stream properties should be the first to be suggested once a user starts typing a letter, not the last. 

uppercase(Ad -> gives me:

DateTimeAdd

FileAddPaths

PadLeft

PadRight

ReadRegistryString

[Address]

I think we would need a dedicated R macro to ascertain the chances anyone in is going to need [ReadRegistryString] before they need a column of their own data that starts with [Ad...]

Easy fix.  Makes a big difference.  

Thanks.

Issue

Whenever a Summarize tool is used, it renames the output field (e.g., sales becomes SUM_sales or AVG_sales).  

Proposal

I think a reasonable compromise is to by default not rename fields in the Summarize Tool, but to include an option (in the tool, or in global settings) to allow for renaming.

Rationale

I have yet to come across a use case where automatic renaming of aggregated fields is desirable. What I have come across is the annoyance to rename the fields back to what they were with a Dynamic Rename tool, and sometimes having to do this multiple times (e.g., converting back a SUM_SUM_SUM_sales back to sales). Additionally, automatic field renaming causes workflow errors when workflows are later modified by adding/removing a Summarize tool (e.g., if you later add a Summarize tool, all downstream steps will expect the "sales" field and not know to use the "Sum_sales field). 

Automatic Renaming feels very much like historic Excel with Pivot Tables field renaming and not reflective of modern code-based workflow best practices.

I appreciate you considering this improvement.

Lots of use cases involve concatenating some values based on group by clauses within the Summarize tool.

It will be great to have the option to Concatenate Unique as an aggregation method, so the results will have just one appearance for each value in the results.

Plus, having the option to get the chance to have them sorted or not will be awesome.

Hi to all,

I have seen one or two posts requesting ability to total up rows and/or columns of numbers, however this idea also requests the ability to subtotal data by a field and also produce an overall total.

This could be an extension to existing tools such as 'Summarise' and 'Cross Tab' or could be a stand alone tool.  Desired output of using a tool like this would produce something like this:

This would be incredibly useful for building reports within Alteryx as well as analysing the data, and cut down the amount of tools currently required to produce this.  I have seen a third party tool which does some of this but this adds the ability to subtotal.

thanks - Roger

Currently the cross tab tool automatically sorts alphabetically by the "New Column Headers" field. Often times I have to output data with dates across the columns and therefore have to do a cross tab to achieve this. The problem is when I have the dates formatted with month names, the crosstab automatically sorts it in alphabetical order instead of date order (i.e. Apr, Aug, Dec, etc vs Jan, Feb, Mar). To get around this issue, I have to use a dynamic rename tool. It would be great if there was a way to choose the order of the crosstab (i.e. in the order of the data, crosstab, another field, etc.).

With the 2019.3 release the summarize tool now includes prefixes for grouped fields. While a nice addition, in application it makes using this data downstream (like joining to other tables) more involved because of needing to remove this prefix. 

It would be nice to have this as an option (a checkbox to add/remove prefixes maybe) or just revert back to pre-2019.3 behavior...thanks!

It would be ever so helpful and save a couple extra steps if a count distinct option could be added to the crosstab tool.  Seems like a slam dunk since plain ole 'count' is already a choice.

With the continued growth of Graph Databases, it would be nice for Alteryx to creates a new tool set that would allow input/output connectors for Graph Databases like Neo4j which software tools like Pentaho and Talend already have.

Keith. 

Is there a way we can turn on and off any tools in the workflow. This way we can run the tool and when a certain tool is marked off it is not executed. This way we can test the workflow and check different output without deleting the tools existing on the workflow, we can just turn then on or off.

A problem I'm currently trying to solve and feel like I'm spending way too much time on it..

I have a data set which has some data in it from multiple languages, and I only want English values.  I was able to get rid of the words with non English letters with a little regular expression and filtering.  However, there's some words that do contain all English letters but aren't English.  What I'm trying to do is bring in an English dictionary to compare words and see which rows have non English words according to the dictionary.  However, this is proving to be a bit harder than I thought.  I think I can do it, but it feels like this should be much simpler than it is.

It would be great to have a tool that would run a "spell check" on fields (almost all dictionaries for all languages are available free online).  This could also be useful also just for cleaning up open text types of data where people type stuff in quickly and don't re-read it! 🙂

It would be great if you could select multiple Data Fields in a single Crosstab

For example. I would like to SUM (Methodology) Pet Food Sales (Data Field 1) & Baby Food Sales (Data Field 2) By Store (Grouping Field) By Day of Week (Header field).
 

It would be a handy feature if it were possible to choose a data type for an input tool to read the data in as. For example, if a dataset has multiple fields with different data types, it would be handy to be able to make the Input Tool read and output them all as a string, if needed. This would also make a handy tool, a sort of blanket data conversion to convert all fields to the specified type.

Hello,

It would be very helpful to have a search box for field names in the summary tool, I think it would help decrease errors by selecting fields by mistake with similar names and will help gain a couple of seconds while looking around for a specific field, particularly with datasets with a lots of them.

Like this:

Hi, I have searched through the community, and I wasn't able to find a duplicate for this idea. If in fact there is, I apologize and please point me to that post. I think that it would be a good idea to have date options in the summarize tool that would allow for grouping at higher levels of the date. I often have a date field that is specific to the day (i.e. 2018-01-01), and I just want to group by the year or month. Currently in order to do this, I have to create a formula before the summarize tool that formats the date according to how I want to group it, and then I am able to group off that field in the summarize tool. It would be nice if in the summarize tool, I could select the date field, and then have the option to group it at year, month, week, etc.