I have 2 columns - Matches(Integer), Accounts_type(String). And i want to create a third column where i want to get proportions of matches played by different account types. I am new to Talend & am facing issue with this for past 2 days & did a lot of research but to no avail. Please help..
You can do it like this:
You need to read your source data twice (I used tFixedFlowInput_1 and tFixedFlowInput_2 with the same data). The idea is to calculate the total of your matches in tAggregateRow_1, it simply does a sum of all Matches without a group by column, then use that as a lookup.
The tMap then joins your source data with the calculated total. Since the total will always be one record, you don't need any join column. You then simply divide Matches by Total as required.
This is supposing you have unique values in Account_type; if you don't, you need to add another tAggregateRow between your source and tMap_1, in order to get sum of Matches for each Account_type (group by Account_type).
Related
I'm an average user of Google sheets and I've tried writing/looking up the formula I'm going for, but I haven't had any luck yet.
I have a spreadsheet that details multiple values that I need to display in a single cell the average of a certain set of values derived from a specific set of those values from multiple columns.
The flow of information would look something along the lines of:
if value in Column D=L
then
if value in Column J<$1.20
then
Find Avg of all Values in Column N
I'd need the formula to narrow it's field of data each time so the final result was the average of all the values in Column N that had a value in column J<$1.20 with a value in Column D=L.
I feel like a dummy over here because I just can't narrow down how I should write this flow and get it to work right without adding multiple extra hidden columns. Can anyone help on this one?
I've tried writing the formula multiple different ways but haven't kept it written down to pass on.
I'm trying to clear the entire cell if it doesn't contain a given keyword.
I've managed to do this for one column:
Table.ReplaceValue(#"PrevStep",each [#"My Column"], each if Text.PositionOf([#"My Column"],"keyword")>-1 then [#"My Column"] else null,Replacer.ReplaceValue,{"My Column"})
The problem is I need to iterate/repeat that step for a number of columns... the number of columns may vary and column names also may be different every time. I can have all those column names put into a list but I'm not able to use it.
The solution I'm looking for may look like this
for each ColNam in MyColumnsList
Table.ReplaceValue(#"PrevStep",each [#"ColNam"], each if Text.PositionOf([#"ColNam"],"keyword")>-1 then [#"ColNam"] else null,Replacer.ReplaceValue,MyColumnsList)
next
but this is not the VBA code but Power Query M - and of course the problem is with #PrevStep as I would see it like a recursions... again... do not know how to process.
Is the path I follow correct or should it be done some other way
Thanks
Andrew
Unpivot your columns to turn all the columns into two columns. Apply your replacement to the single value column then pivot it back into the original format
I need to do a running total and filter by two none date fields.
All data is in a single table that is used to house Cycle Times for Part Numbers at each of their respective steps. This table contains a record for each combination of Step and Part. I need to get a running total for Cycle Times on all complete and current steps.
For example in the Table View, if you were to go to CycleHoursComplete at StepNo 40 I need it to = 2.86 or the sum of StepCycleHours with StepNo's <= the StepNo for the given record.
Currently "CycleHoursComplete" = CALCULATE( SUM ( Routing[StepCycleHours] ) , GROUPBY(Routing, Routing[PartNo]), (Routing[StepNo] <= Routing[StepNo] )), and that is not working.
You can easily do running totals with non-date fields as long as you have a numerical identifier to sort by, such as an ID column or in your case, the StepNo column.
You just need to use a combination of FILTER and EARLIER functions. Here's the DAX:
=CALCULATE(SUM([StepCycleHours]),ALL(Cycle),Cycle[StepNo]<=EARLIER(Cycle[StepNo]))
Note my table is called "Cycle"- you would need to replace that with your table name (Routing).
I noticed you tried to use a similar logic as the one I pasted above in the formula, but you forgot to use EARLIER, which is crucial to create row-level context.
Result:
I have a PowerPivot table for which I need to be able to determine how long an item was in an Error state. My data set looks something like this:
What I need to be able to do is to look at the values in the ID and State columns, and see if the value in the previous row is ERROR in the State column, and the same in the ID column. If it is, I then need to calculate the difference between the Changed Date values in those two rows.
So, for example, when I got to row 4, I would see that the value in the State column for Row 3, the previous row, is ERROR, and that the value in the ID column in the previous row is the same as the current row, so I would then calculate the difference between the Changed Date values in Row 3 and Row 4 (I don't care about the values in any of the other columns for this particular requirement).
Is there a way to do this in PowerPivot? I've done a fair amount of Internet searching, and it looks like if it can be done, it would use the EARLIER or EARLIEST DAX functions, but I can't find anything that tells me how, or even if, this can be done.
Thanks.
Chris,
I have had similar requirements many times and after a really long time of trial-and-error, I finally understood how EARLIER works. It can be very powerful, but also very slow so always check for the performance of your calculations.
To answer your question, you will need to create 4 calculated columns:
1) Item Rank - used for ranking the issues with same Item ID
=COUNTROWS(FILTER('ID', EARLIER([Item ID]) = [Item ID] && EARLIER([Date]) >= [Date]))
2) Follows Error - to easily find issue that follows EROR issue
=IF([State] = "EROR",[Item Rank]+1)
3) Time of Following Issue - simple lookup so that you can calculate the different
=IF([Follows Error]>0,
LOOKUPVALUE([Date], [User], [User], [Item Rank], [Follows Error]),
BLANK()
)
4) Time Diff - calculation of time different for the specific issue
=IF([State]="EROR",
DAY([Time of Following Issue])-DAY([Date]),
BLANK()
)
With those calculated columns, you can then easily create a powerpivot table, drag State and Item Id onto the ROWS pane and then simply add Time Diff to Values. You will get an overview of issues that contain string "EROR" issue and the time it took to resolve them.
This is what it looks like in PowerPivot window:
And the resulting Pivot table:
You can download my Excel file here (2013).
As I mentioned, be careful with the performance as the calculated columns with nested EARLIER and IF conditions might be a bit too performance-demanding. If there is a smarter way, I would be very happy to see it, but for now this works for me just fine.
Also, keep in mind that all calculated columns could be nested into 1, but I kept them separated to make it easier to understand the formulas.
Hope this helps :-)
I'm trying to figure out how I can count through order numbers in a column which is shared with other data.
I only want to count if the order number is unique, I was trying to use the end suffix of all order numbers as criteria but can't seem to be able to get it identify two types of criteria.
All I need it to return is the total amount of orders in the column, ignore the total qtys it shares underneath in the same column and only return the unique values.
I tried: =countif('sheet'!A1:A, unique("*suffix"))
Might be worth trying:
=unique(filter(A:A,right(A:A,6)="suffix"))
though like #AJPerez, I'm not sure what is required, from what.