Basically, I need to field merge a field in a certain table. Let's say TableA.Col1.
The syntax ${TableA.Col1} works perfectly. However, it only shows the first row of data in the table, whereas, I need to field merge the second row of the data as well.
Any suggestions?
I am trying like an array call ${TableA.Col1[0]} or ${TableA.Col1[1]} but no luck.
Hope to meet some Responsys guru here.
Thank you!
You need to use the <#data> directive to pull multiple records from a supplemental table. Interpolations with Table.Column syntax are designed for 1->1 relationships so will only pull the 1st record.
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i'm having 6 tables in microsoft excel and i'm trying to merge them all in order to compare the records. i've tried all kinds of joins using power queries but getting null values for unmatched records. is there any way that I don't get the null values for the unmatched records rather get all the merged data at once?
Do all tables have the same structure?
If the case that the sheets have the same structure, it will be enough to always copy and paste with the option "Same as the source format (M)" In case they are different I hope you expand the information a little more so that I know how to proceed to help you. Receive an affectionate Greeting.
I have two tables that use a unique concatenated column for their relationship. I simply want to make a measure that uses the values from C4 of Table1. I thought I could use a simple formula like =values(Table1[C4]) but I get an error of "A table of multiple values was supplied where a single value was expected."
Side note: I realize the concatenation is unnecessary here in this simple example, but it is necessary in the full data I am working with which is why I added it into this example.
Here's a simplified set of tables for what I am trying to do:
Table1
Table2
Relationships
First you should think. Do I really need a Calculated column? Can't this be calculated at runtime?
But if you still want to do it, you can use RELATED or RELATEDTABLE.
Keep in mind if you are pulling from RELATEDTABLE, returns many values. So you should apply some type of aggregation like SUMX or MAXX.
You can use context transition to retrieve the value.
= CALCULATE(MAX(Table1[C4])
Are there any other possible ways to add columns to a data table within Spotfire, besides the method mentioned here: Spotfire add column from python list? I'm asking because the method works for a particular field that I have, except when the values are NULL (obviously cannot perform a join operation on a field, which is NULL).
I was able to solve the issue through creating a calculated column that uses the row IDs to perform the join so the nulls would never interfere with the join.
Currently, I am working on a YUI datatable with hundreds of entries. The table consists of four columns, the first one (ID) being the primary key. What we want to do is to ignore any entries whose ID "ends with" a specific number. The source code is very big and ugly, so instead of posting code snippets, I wanted to post a rather high level question.
I've seen several YUI datatable samples, but none of them examplified what I want to do, namely filtering out data that ends with a given string. Has any of you been able to do this?
Are you wanting to filter the data before it is bound to the datatable? Have you looked at the datasource events such as doBeforeCallback?
Rookie question I know.
I have a table with about 10 fields, one of the fields is a category field. I need this field to exist because of the multiple types of categories. However, one category in this field is wrong and is duplicating results.
So can I delete all records in the table that have "Type320" in the CatDescription field, and how? I want to keep eveerything else as it is in this table; just need to get rid of the records that have that that in that one field
Thanks very much!
EDIT: Thanks for the answer, I did not know how to do this so this is very helpful
However, this is more complicated than I thought. The raw data that I am supplied carries these duplicate records (only duplicate in certain circumstances but they are easy to isolate). This raw data is given to me on a monthly basis in several spreadsheet forms.
It all relates to these ID numbers, and has like 10 fields (xls columns). As I said before one of these is the Category Description field (sorry, this is not a lookup) In certain places this records automatically duplicates itself on output because in the database this comes from, it has to have this sub category for one particular "type"
So....every time there is a duplication, every single bit of information in all fields are exactly the same, with the exception of this CatDescription (one is Type320, and the duplicated record type is "Type321"). However, there are some instances where Type321 is valid on it's own (in which case there is no matching data row with a Type320 catdescription). By matching I mean all data in all fields of a particular record.
A very clear absolute of this is if all fields (data within) of a record with Type320 CatDescription, matches all fields (data within) a record with Type321 CatDescription, then I can delete that record containing Type321 CatDescription. This is true because this is the only situation where this duplication occurs, normally not all of this should match.
This allows all unique records with Type320 and Type321 data (that does not match exactly) to stay; just a it should. This makes sense to me (and hopefully you too :/) but can it be done, and how?
thanks because this is way over my head. I would rather know how to do it in access, but an xls solution is equally as appreciate. heck i would do it in ppt if it would get the job done! :)
I would try with one of these two querys:
DELETE FROM table WHERE CatDescription LIKE '%Type320%';
DELETE FROM table WHERE CatDescription LIKE '*Type320*';
That because the Access database engine could be using * (ANSI-89 Query Mode e.g. DAO) instead of % (ANSI-92 Query Mode e.g. OLE DB/ADO) for the wildcards.
Alternatively, this regardless of ANSI Query Mode:
DELETE FROM table WHERE CatDescription ALIKE '%Type320%';
Note the Access database engine's ALIKE keyword is not officially supported.
Does the CatDescription field look to another table? Is it a a query of those tables that creates what you call duplicate results?
If so, be careful about blaming the table that has CatDescription. Check the look-up table to see if Type320 is found there in duplicate.
If you don't have the problem isolated correctly, then you're likely to delete good records while not fixing the problem.