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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!
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 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.
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.
While In-db tools are very helpful and cut down the time needed to write complex SQL , there are some steps that are faster by directly writing SQL like window functions- OVER (PARTITION BY .....). In Alteryx, we need to create multiple joins and summaries to perform a window function. It would be immensely helpful if there was a SQL editor tool for in-db workflows where we can edit the SQL code at any point in the workflow, or even better, if they can add an "edit" function to every in-db tool where we can customize the SQL code generated and then send to the next tool.
This will cut down the time immensely and streamline the workflow to make Alteryx a true contender for the ETL solution space.
These tools seem to be volatile, as in if you click on them before you run the workflow they lose their configuration. This is infuriating. Can we change this to be like every other tool where you can copy, paste or click into it at any time and it remembers its config.
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..
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.
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.
I have a process that joins 3 data sets to identify a specific group of data and apply certain ruling. From this created file, I need to extract the data (not the headings) from specific columns and insert into an already existing template. The template has formatting that needs to remain in order for it to function.
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! 🙂
Access to only MD5 hashes via MD5_ASCII(String) and MD5_UNICODE(String) found under string functions is limiting. Is there a way to access other hashing algorithms, ideally via the crypto algorithms from OpenSSL or the .NET framework?
- For workflows with data containing existing hashes, being able to consistently create hashes from non-hashed data for comparison is useful. - Hashes are also useful because they are the same outside the Alteryx environment. They can be used to confirm correct operation of a production system or a third party's external process.
Access to only MD5 hashes via MD5_ASCII(String) and MD5_UNICODE(String) found under string functions in the formula tool is a start, but quite limiting.
This feature isn't a must - but would definitely be a nice to have.
Similar to the excel having a tab with key figures like average, count and sum
It would be a really good idea to do something similar within Alteryx just to have a quick glance on key figures/functions (example attached - apologise for the bad paint job but definitely would look good with Alteryx colour scheme)