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Submission GuidelinesHello,
After used the new "Image Recognition Tool" a few days, I think you could improve it :
> by adding the dimensional constraints in front of each of the pre-trained models,
> by adding a true tool to divide the training data correctly (in order to have an equivalent number of images for each of the labels)
> at least, allow the tool to use black & white images (I wanted to test it on the MNIST, but the tool tells me that it necessarily needs RGB images) ?
Question : do you in the future allow the user to choose between CPU or GPU usage ?
In any case, thank you again for this new tool, it is certainly perfectible, but very simple to use, and I sincerely think that it will allow a greater number of people to understand the many use cases made possible thanks to image recognition.
Thank you again
Kévin VANCAPPEL (France ;-))
Thank you again.
Kévin VANCAPPEL
In the tools that embed the "Rename" option (Select, Append Fields, Join, Join Multiple), copying the new name will copy all the information of the field configuration : tick/untick, original field name, type, size, new name and description.
In my opinion, it should copy only the new name. This would be useful, especially because when you change the name of a field, it isn't automatically changed in subsequent tools, so copying it to replace it in those tools is faster than retyping it every time.
Hello all,
As of today, you can only (officially) connect to a postgresql through ODBC with the SIMBA driver
help page :
https://help.alteryx.com/current/en/designer/data-sources/postgresql.html#postgresql
You have to download the driver from your license page
However there is a perfectly fine official driver for postgresql here https://www.postgresql.org/ftp/odbc/releases/
I would like Alteryx to support it for several obvious reasons :
1/I don't want several drivers for the same database
2/the simba driver is not supported for last releases of postgresql
3/the simba driver is somehow less robust than the official driver
4/well... it's the official driver and this leads to unecessary between Alteryx admin/users and PG db admin.
Best regards,
Simon
Hello,
As of today, DCM is great to store credentials. But once we want to dive deeper in technicity, like using macros or Applications, it's really bad. One of the things I hate is that we can't retrieve any informations from the DCM connection, just the id. Not good for logs, really bad for understanding and have some conditional logic related to connection type or name.
Here an example
Nice, I managed to retrieve an id but I have no idea of what it means : what kind of connection? what's name?
Best regards,
Simon
Parquet is a very fast, efficient and widely used data format, currently only below Parquet compression algorithms are supported and we cannot use Alteryx to read the parquet file that generated by other processes. This limits our usage in Alteryx.
Read support: Snappy and Gzip compression algorithms.
It would be great for Alteryx to support all types of Parquet format so we can maximize the use of Alteryx in data analysis.
Hello,
Unless you're lucky, your input dataset can have fields with the wrong types. That can lead to several issues such as :
-performance (a string is waaaaaaaay slower than let's say a boolean)
-compliance with master data management
-functional understanding (e.g : if i have a field called "modified" typed as string, I don't know if it contains the modification date, an information about the modification, etc... while if it's is typed as date, I already know it's a date)
-ability to do some type-specific operations (you can't multiply a string or extract a week from a string)
right now, the existing tools have been focused on strings but I think we can do better.
Here a proposition :
entry : a dataframe
configuration :
-selection of fields
or
-selection of field types
-ability to do it on a sample (optional)
Algo :
Alteryx | Byte | bool | only 2 values. 0 and 1 | to be done |
Alteryx | Int16 | bool | only 2 values. 0 and 1 | to be done |
Alteryx | Int16 | Byte | min=>0, max <=255 | to be done |
Alteryx | Int32 | bool | only 2 values. 0 and 1 | to be done |
Alteryx | Int32 | Byte | min>=0, max <=255 | to be done |
Alteryx | Int32 | Int16 | min>=-32,768, max <=32,767 | to be done |
Alteryx | Int64 | bool | only 2 values. 0 and 1 | to be done |
Alteryx | Int64 | Byte | min>=0, max <=255 | to be done |
Alteryx | Int64 | Int16 | min>=-32,768, max <=32,767 | to be done |
Alteryx | Int64 | Int32 | min>=-–2,147,483,648, max <=2,147,483,647 | to be done |
Alteryx | Fixed Decimal | bool | only 2 values. 0 and 1 | to be done |
Alteryx | Fixed Decimal | Byte | No decimal part, min>=0, max <=255 | to be done |
Alteryx | Fixed Decimal | Int16 | No decimal part, min>=-32,768, max <=32,767 | to be done |
Alteryx | Fixed Decimal | Int32 | No decimal part, min>=-–2,147,483,648, max <=2,147,483,647 | to be done |
Alteryx | Fixed Decimal | Int36 | No decimal part, min>=-––9,223,372,036,854,775,808, max <=9,223,372,036,854,775,807 | to be done |
Alteryx | Float | bool | only 2 values. 0 and 1 or 0,-1 | to be done |
Alteryx | Float | Byte | No decimal part, min>=0, max <=255 | to be done |
Alteryx | Float | Int16 | No decimal part, min>=-32,768, max <=32,767 | to be done |
Alteryx | Float | Int32 | No decimal part, min>=-–2,147,483,648, max <=2,147,483,647 | to be done |
Alteryx | Float | Int36 | No decimal part, min>=-––9,223,372,036,854,775,808, max <=9,223,372,036,854,775,807 | to be done |
Alteryx | Float | Fixed Decimal | to be done | to be done |
Alteryx | Double | bool | only 2 values. 0 and 1 or 0,-1 | to be done |
Alteryx | Double | Byte | No decimal part, min>=0, max <=255 | to be done |
Alteryx | Double | Int16 | No decimal part, min>=-32,768, max <=32,767 | to be done |
Alteryx | Double | Int32 | No decimal part, min>=-–2,147,483,648, max <=2,147,483,647 | to be done |
Alteryx | Double | Int36 | No decimal part, min>=-––9,223,372,036,854,775,808, max <=9,223,372,036,854,775,807 | to be done |
Alteryx | Double | Fixed Decimal | to be done | to be done |
Alteryx | Double | Float | when no need for doube precision | to be done |
Alteryx | DateTime | Date | no hours, minutes, seconds | to be done |
Alteryx | String | bool | only 2 values. 0 and 1 or 0,-1 or True/False or TRUE/FALSE or equivalent in some languages such as VRAI/FAUX, Vrai/Faux | to be done |
Alteryx | String | Byte | No decimal part, min>=0, max <=255 | to be done |
Alteryx | String | Int16 | No decimal part, min>=-32,768, max <=32,767 | to be done |
Alteryx | String | Int32 | No decimal part, min>=-–2,147,483,648, max <=2,147,483,647 | to be done |
Alteryx | String | Int36 | No decimal part, min>=-––9,223,372,036,854,775,808, max <=9,223,372,036,854,775,807 | to be done |
Alteryx | String | Fixed Decimal | to be done | to be done |
Alteryx | String | Float | when no need for doube precision | to be done |
Alteryx | String | Double | when need for double precision | to be done |
Alteryx | String | Date | test on several date formats | to be done |
Alteryx | String | Time | test on several time formats | to be done |
Alteryx | String | DateTime | test on several datetime formats | to be done |
Alteryx | WString | bool | only 2 values. 0 and 1 or 0,-1 or True/False or TRUE/FALSE or equivalent in some languages such as VRAI/FAUX, Vrai/Faux | to be done |
Alteryx | WString | Byte | No decimal part, min>=0, max <=255 | to be done |
Alteryx | WString | Int16 | No decimal part, min>=-32,768, max <=32,767 | to be done |
Alteryx | WString | Int32 | No decimal part, min>=-–2,147,483,648, max <=2,147,483,647 | to be done |
Alteryx | WString | Int36 | No decimal part, min>=-––9,223,372,036,854,775,808, max <=9,223,372,036,854,775,807 | to be done |
Alteryx | WString | Fixed Decimal | to be done | to be done |
Alteryx | WString | Float | when no need for doube precision | to be done |
Alteryx | WString | Double | when need for double precision | to be done |
Alteryx | WString | String | Latin-1 character only | to be done |
Alteryx | WString | Date | test on several date formats | to be done |
Alteryx | WString | Time | test on several time formats | to be done |
Alteryx | WString | DateTime | test on several datetime formats | to be done |
Alteryx | V_String | bool | only 2 values. 0 and 1 or 0,-1 or True/False or TRUE/FALSE or equivalent in some languages such as VRAI/FAUX, Vrai/Faux | to be done |
Alteryx | V_String | Byte | No decimal part, min>=0, max <=255 | to be done |
Alteryx | V_String | Int16 | No decimal part, min>=-32,768, max <=32,767 | to be done |
Alteryx | V_String | Int32 | No decimal part, min>=-–2,147,483,648, max <=2,147,483,647 | to be done |
Alteryx | V_String | Int36 | No decimal part, min>=-––9,223,372,036,854,775,808, max <=9,223,372,036,854,775,807 | to be done |
Alteryx | V_String | Fixed Decimal | to be done | to be done |
Alteryx | V_String | Float | when no need for doube precision | to be done |
Alteryx | V_String | Double | when need for double precision | to be done |
Alteryx | V_String | String | Same length | to be done |
Alteryx | V_String | Date | test on several date formats | to be done |
Alteryx | V_String | Time | test on several time formats | to be done |
Alteryx | V_String | DateTime | test on several datetime formats | to be done |
Alteryx | V_WString | bool | only 2 values. 0 and 1 or 0,-1 or True/False or TRUE/FALSE or equivalent in some languages such as VRAI/FAUX, Vrai/Faux | to be done |
Alteryx | V_WString | Byte | No decimal part, min>=0, max <=255 | to be done |
Alteryx | V_WString | Int16 | No decimal part, min>=-32,768, max <=32,767 | to be done |
Alteryx | V_WString | Int32 | No decimal part, min>=-–2,147,483,648, max <=2,147,483,647 | to be done |
Alteryx | V_WString | Int36 | No decimal part, min>=-––9,223,372,036,854,775,808, max <=9,223,372,036,854,775,807 | to be done |
Alteryx | V_WString | Fixed Decimal | to be done | to be done |
Alteryx | V_WString | Float | when no need for doube precision | to be done |
Alteryx | V_WString | Double | when need for double precision | to be done |
Alteryx | V_WString | String | Same length,latin- character only | to be done |
Alteryx | V_WString | WString | Same length | to be done |
Alteryx | V_WString | V_String | latin- character only | to be done |
Alteryx | V_WString | Date | test on several date formats | to be done |
Alteryx | V_WString | Time | test on several time formats | to be done |
Alteryx | V_WString | DateTime | test on several datetime formats | to be done |
The output would be something like that
Field | Input type | Proposition | Conversion |
toto | float | int | formula (with example)/native tool/datetime conversion tool… |
Best regards,
Simon
Hi all,
When preparing reports with formatting for my stakeholders. They want these sent straight to sharepoint and this can be achieved via onedrive shortcuts on a laptop. However when sending the workflow for full automation, the server's C drive is not setup with the appropriate shortcuts and it is not allowed by our admin team.
So my request is to have the sharepoint output tool upgraded to push formatted files to sharepoint.
Thank you!
I am working with complex workflows which use multiple files as input, located on network drives. Input tools are Input Data, Directory, Wildcard Input, Wildcard XLSX Input (from CReW macros).
Regularly, I experience very slow Designer when working on the workflows, and slow progress when running the tools mentioned above, especially when working from home. Switching off Auto Configure did not really help because I the column list sometimes does not converge even after pressing F5 multiple times, and when actively working on workflows, I have to press F5 all the time...
In order to speed up both working on workflows and running the workflows, I would like to propose a function "Cache all File Inputs" which loads and caches all file inputs at once. To achieve this state, I now have Cache and Run workflow once per every file input.
The idea is to have a Run option, where the workflow runs everything up to the selected tool (Like the Cache functionality does).
You select the tool, hit Run Up and the workflows executes everything "before" the selected tool.
That'll make developing much easier, specially when dealing with big workflows and constant changing data.
Hello,
This is a feature I haven't seen in any data prepation/etl. The core feature is to detect the unique key in a dataframe. More than often, you have to deal with a dataset without knowing what's make a row unique. This can lead to misinterpret the data, cartesian product at join and other funny stuff.
How do I imagine that ?
a specific tool in the Data Investigation category
Entry; one dataframe, ability to select fields or check all, ability to specify a max number of field for combination (empty or 0=no max).
Algo : it tests the count distinct every combination of field versus the count of rows
Result : one row by field combination that works. If no result : "no field combination is unique. check for duplicate or need for aggregation upstream".
ex :
order_id line_id amount customer site
1 | 1 | 100 | A | U_250 |
1 | 2 | 12 | A | U_250 |
1 | 3 | 45 | A | U_250 |
2 | 1 | 75 | A | U_250 |
2 | 2 | 12 | A | U_250 |
3 | 1 | 15 | B | U_250 |
4 | 1 | 45 | B | U_251 |
The user will select every field but excluding Amount (he knows that Amount would have no sense in key)
The algo will test the following key
-each separate field
-each combination of two fields
-each combination of three fields
-each combination of four fields
to match the number of row (7)
And gives something like that
choice number of fields field combination
very good | 2 | order_id,line_id |
average | 3 | order_id,line_id, customer |
average | 3 | order_id,line_id, site |
bad | 4 | order_id,line_id, site, customer |
… | … | …. |
Best regards,
Simon
Idea
I feel the necessity of the features to know the version of Alteryx Designer Desktop for each user within an organization.
As well as some usage data of each user like 'Last Used' are available in License Portal, if 'Version of Alteryx Designer Desktop' for each user is also available in License Portal, it would be more manageable and could enhance the governance in organization.
Background
When the organization uses Alteryx Server and Designer Desktop, it is more challenging to make alignment of version of these products.
We frequently see our users install/upgrade to newer version of Alteryx Designer than that of Alteryx Server, and cause incompatibility issue when interacting with Alteryx Server.
Although we instruct our users to install the particular version, they sometimes upgrade to newer version later on by themselves, but it's not detectable.
I mean, even if they're using a wrong version of Alteryx Designer Desktop, we won't realize it until a problem occurs.
In order to identify such users and rectify their version, administrator shall be able to know which version they use whenever needed.
License Portal would be one of the best platform to make that information available in my opinion.
When I make the workflow, the font size on Result window is no problem.
But, when we show the contents of Results window on the presentation or online meeting, the font size is too small.
I want the function which is enlarge the font size. The important point is that the current font size is okay on making workflow and the large font size is only needed on showing to the another people on presentation or online meeting.
One more point to add, it would be helpful to be able to change the font size with Ctrl + mouse wheel.
Push the zoom button:
Hey all,
I don't know about you, but I have always had trouble hovering the mouse over the Results window pane trying to get the resize icon to appear. It seems like you need surgeon level precision to find the icon! 😷
I love Designer and want to see it be the best it can possibly be. I feel like increasing the clickable/hovering area for this resize would be amazingly helpful!
Just wanted to see if we could get some community momentum going in order to get some developer eyes on this issue. 🙂
Please help by bumping/upvoting this thread!
-K
Migrated this from another thread. Some folks tagged from the original post :)
@cpatrickwk @caltang @afellows @MRod @alexnajm @ericsmalley @MilindG @Prometheus @innovate20
Whenever I overwrite an Excel sheet with data of the same format just different values (e.g. Q2 data versus Q1 data) all of my Pivot Tables break and I have to manually recreate them even though the schema didn't change. Somehow the Table is being deleted/removed and replaced with a completely different Table which is what causes the Pivot Tables to break. The only way to avoid this is to manually set the Cell Range, but who has time for that? The only solution I have found is to manually copy all values and paste them over the existing data which is very inefficient the more sheets you are working with.
Hello all,
When using in-database, all you have in select or formula are the Alteryx field types (V_String, etc..).
However, since you're mostly writing in database, in the end, there is a conversion of Alteryx field types to real SQL field types (like varchar). But how is it done ? As of today, it's a total black box. Some documentation would be appreciated.
Best regards,
Simon
Hello all,
As of today, you can populate the Drop Down tool in the interface category with a query launched from a in-memory connection. I would really appreciate the ability to use instead an in-db connection.
Why ?
It means managing two connections instead of one, and finding ways to manage it on server for both of them, etc etc.. Simplicity is key.
Best regards,
Simon
Hello all,
This is a very interesting feature of the List Box and Drop Down interface tool : the ability to select fields
However such a feature is not available for in-database, highly limiting the use of macros.
Please change.
Best regards,
Simon
Hello all,
It's really frustrating to have an "alteryx field type" in In-Database Select. It doesn't even make sense since we're manipulating only data in SQL database where those types does not exist. What we should see is the SQL field type.
Best regards,
Simon
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