Best Of
Re: Email Connector - csv headers import, but not data
@dgsinclair It most likely is the CSV file you're using. I'd suggest reverting your dataset back to the last successful execution from January 5 and starting your changes again from scratch.
On a side note, did you edit the csv file in a text editor, like your screenshot, or did you use Excel? If you did it in a text editor, it's possible that you may have accidentally mis-aligned your columns while manually editing and Domo is unable to read it properly.
Re: Calculations using analyser or beast mode
Can you provide a little more commentary about what exactly you are looking to solve for here? It looks to me like you've already figured out the solution.
If you're looking to calculate numbers based on different filter criteria I'd recommend using a CASE statement on a beast mode or in magic ETL to solve.
Pretend I'm running a fruit stand -- I have 3 apples (that are red), 2 peaches (that are pink), and 5 blueberries (which are blue). I want to lump anything that is red or pink into a 'red' bucket.
I can write a beastmode called 'red fruits':
CASE WHEN fruit color IN ('Red', 'Pink') Then SUM(Quantity) End
This would add apples and peaches together.
Re: Data format from Jupyter to Dataset
it's unclear what your output from (presumably) magic etl scripting tiles looks like. can you send intermediate screenshots?
Re: Weighted Averages of Summary Data
I think it would be something along the lines of...
sum(`N` * `X-Y Average`) / sum(`N`)
Re: Query to create a condition on a database
you can easily created a beastmode case statement as
CASE
WHEN `PPG` = 'MPA 90GRS' THEN 90
WHEN `PPG` = 'CTA 90GRS' THEN 90
END
Adding as many conditions as you want individually or this is another option
CASE
WHEN `PPG` IN ('MPA 90GRS', 'CTA 90GRS') THEN 90
WHEN `PPG` = 'CLUMINOUS 70GRS' THEN 70
END
now if , PPG contains a lot distinct values , you could ETL a table with those values and join it to your data.
anyways, there is a lot different ways to do that. hope this helps
Re: Zendesk 1000 row limit
@Tsharma8724 It looks like it is a limitation of Zendesk API on results per query. https://developer.zendesk.com/api-reference/ticketing/ticket-management/search/
A connector enhancement request from your accounts team would be required for Domo Engineering to build it out.
You would need to adjust your query and run it on append daily so it is under the max.
TDanis
Re: Python Tile Typecasting while Reading Data
Have you tried converting your series directly to a category after you import it?
raw['column'] = raw['column'].astype('category')



