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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
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,
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
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,
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
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,
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,
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
We all know and love the Comment tool. It's a staple of every workflow to give users an idea of the workflow in finer details. It's a powerful tool - it helps adds context to tools and containers, and it also serves as an image placeholder for us to style our workflows as aesthetically pleasing as possible.
Now, the gensis of this idea is inspired by this post and subsequent research question here.
The Comment Tool today allows you to:
But it would provide way more functionality if it had the capabilities of another awesome Alteryx tool that is not so frequently mentioned... the Report Text Tool!
What's missing in the Comment tool that the Report Text tool has?
Now, whilst I understand that the Report Text tool is just that, a tool that needs to be connected to the data to work, so too does the Comment tool (to a lesser extent).
It would be awesome to have the ability to connect the data to the Comment tool as it was a Control Container-like connector. It can also be just like the Report Text tool with an optional input, thereby making it like a normal Comment tool.
To visualize my point:
The benefits of doing so:
I think it'll be a killer feature enhancement to the comment tool. Hoping to hear comments on this!
Kindly like, share, and subscribe I mean comment your support. Thanks all! 😁
-caltang
Documenting your Alteryx workflow is important because it allows others to understand and modify it as needed. To document your workflow effectively, you should provide detailed information about your inputs, outputs, tools used, and any assumptions or limitations.
When it comes to documentation, annotations are often more practical than the comments tool. However, the comments tool in Alteryx offers a useful feature that allows you to customize the background, font, and border colors. These customizable colors can be beneficial when reviewing workflows, as they help draw attention to specific details or notes.
In the screenshot below, you can observe that the highlighted comment attracts more attention compared to the annotation on the left side, even though they contain the same comment.
It would be great if the color customization features available in the comments tool could also be added to the annotations of any tool.
Sounds simple :
Best regards,
Simon
Hi,
I appreciate this could be a repeat of this topic but I'm not able to find it easily if it is.
I want to locate a column in my results window with a simple search functionality. I'd like to search for a column and then it'll present back to me potential columns that I could then select to move me to in the results window. It's painful with a lot of columns to keep scrolling to find the one you're after:
All the best,
BS
Hello,
Working on Dataiku DSS and there is a cool feature : they can tag tools, parts of a worklow.. and then emphasize the tools tagged.
Best regards,
Simon
Everyone knows the importance of adding the appropriate controls and governance to your workflows - and often, this means including events that will generate notifications if a workflow is running with errors.
But who is the audience of that email? If it's not a developer, will that person know what they are reading and where to focus?
How about a developer that would like to customize the message that the end user will receive?
Porting some existing functionality from other tools in the Alteryx toolkit to the Events page could easily provide added flexibility to event generation:
1) Add a formatting bar to the tool like shown in the image below
-- Style changes
-- Alignment
-- Highlighting
-- Coloring
-- Images
2) Add a function bar to the tool like shown in the image below
-- Ability to view all available variables
-- Ability to apply formulas using variables
-- Ability to save formulas
What do you think? Give this post a thumbs up if you find the post helpful!
Hello,
It's nice to have this OpenAI Connector but it seems it must be the default OpenAI URL. In my company, we use OpenAI on an Azure instance and I'm unable to connect to it.
(by the way, I know pre-sales teams have developed lot of connectors for fireworks, mistral, etc.. it would be very cool to have it available).
Best regards,
Simon
Hello all,
A few years ago, I asked for svg support in Alteryx (https://community.alteryx.com/t5/Alteryx-Designer-Desktop-Ideas/svg-support-for-icon-comment-image-e... ). Now, there is Alteryx Designer Cloud with other icons... already in svg !
So I think it would be great to have an harmonization between designer and cloud.
Best regards,
Simon
I’ve been using the Regex tool more and more now. I have a use case which can parse text if the text inside matches a certain pattern. Sometimes it returns no results and that is by design.
Having the warnings pop up so many times is not helpful when it is a genuine miss and a fine one at that.
Just like the Union tool having the ability to ignore warnings, like Dynamic Rename as well, can we have the ignore function for all parse tools?
That’s the idea in a nutshell.
Hello,
This is a popular feature on other tools, such as Talend (now Talaxie) : the ability to export the workflow as a vectorized screenshot in svg.
Why ? it helps to build documentation, svg being vectorized, it means the picture can be zoomed in without losing quality.
Of course, that would mean before that Alteryx use svg for icons as required here https://community.alteryx.com/t5/Alteryx-Designer-Desktop-Ideas/svg-support-for-icon-comment-image-e...
Best regards
Simon
Hello,
I think I have neer wrotten an easier idea : the tooltip for the run workflow button should indicate the keyboard shortcut (ctrl+R). So simple, so intuitive..
Best regards,
Simon
Hello all,
As of today, when you want to retrieve or create a file on Apache Spark for Databricks, you have only two choices : CSV and Avro
However it's clearly missing parquet file type :
-it's faster
-it's better for storage
-it's standard and already supported as input/output of Alteryx or for HDFS so doesn't seem hard to add here.
Best regards,
Simon
Sometimes I want to set up a filter to compare the values in two fields in my data set. The basic filter option would be much more powerful and configuration would be quicker if this option allowed this.
For example, currently I must use a custom filter to check if Field1 and Field2 are equal:
I would love to have the option to either use a static value in the basic filter (as you can now) or select a field name from a dropdown:
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