This is the table that I would like to compare the values within the row groups incrementally however I would not like to compare rows amongst groups as it would come with negative values.
How do I achieve this on the same table? I am unfamiliar with subqueries
It sounds like what you need is a Calculated Field added as a third column to your table.
Instructions:
Select the drop down menu next to "Click to Add" to create a new column.
From the choices available select Caluculated Field and then Number.
The Expression Builder will open.
All you need to do from there is select the column you want to use as your primary number (in your case Number) from the Expression Categories, insert a minus sign, then select the number you want to subtract from the first number (in your case Group), again in the Expression Categories.
Name the column you created whatever you would like.
Related
Is tableau has a opportunity to create calculated column for table? For example here are 2 column with some number and I want to make third column with formula like this
If(column1>column2;column1;column2. I see there is option to create calculated field with summarize columns but I just want to compare them.
If you only want to create a new column storing the max between 2 original column, you just need to create a calcultaed field like the following:
if column1 > column2
then column1
else column2
end
EDIT
Or even simpler
MAX([column1], [column2])
There are two (overloaded) functions named MAX(). With one argument, MAX() is an aggregate function that operates on a column of values and returns the maximum - just like other aggregate functions like SUM(), AVG() etc. With two arguments, MAX() is a record level function that operates on an individual data row and returns the larger of its two arguments. MIN() behaves similarly.
Is there any function or node which will add the number of elements in a set chronologically?
I would like to create a simple line graph of "total number of users" over time, but what I have is "user_email" (unique) and "date_created" for the date the user joined.
What is the easiest way to sum the number of users at any given time from their creation date and plot it in a graph according to time?
I tried searching for this, but didn't find anything related. New to KNIME. Thanks.
If you are sure that user_email only contains unique values, you can sort the table by date_created (if it isn't already sorted) then use a Counter Generation node to add a column containing a counter value.
For a more general solution, if you want to count the cumulative total of unique values in a table column, you can use this sequence:
GroupBy configured to group by the column whose unique values you want to count and to aggregate on the column you want to plot this against - for example, your timestamp column, probably with either the First or Last aggregation method
Sorter to sort on the aggregation column from GroupBy
then Moving Aggregation with the Cumulative computation box checked, and configured to aggregate on Count of the grouped column from GroupBy.
How can I group by based on a pattern in column to calculate the total?
My table has the following columns: CustomerAccount (char30), AccountDesc varchar(200), AccountAmount1 (decimal), AccountAmount2,....., AccountAmount5.
The CustomerAccount is in this format: xxx.xxxx.xxxxx.
Some of the values are:
How do I group the data so any value like xxx.xxxx.31xxx, xxx.xxxx.32xxx, etc is grouped together so I can calculate the AccountAmount like the image below in SSRS report? The highlighted part ranges from 30 to 39:
I am not sure if it would be easier to do it in SQL query, but not sure how.
If your account number is always a fixed length (or more precisely, if the numbers you want to group by are always in the same position) then you can create a row group with the group expression being something like
=MID(Fields!CustomerAccount.Value, 11,2)
If you wanted to group an everything up to that point you could do
=LEFT(Fields!CustomerAccount.Value, 13)
The numbers might be out by one as I can't remember if these are zero or 1 based functions but you'll soon notice that.
I am trying to find a way to use the Group By functionality to create a table where the numerator of a fraction is grouped both by column and row, and the denominator is grouped only by column.
Here's my existing expression:
=Round(Sum(Fields!Days_In_Step.Value)/CountDistinct(Fields!ID.Value),1, MidpointRounding.AwayFromZero)
When grouped by rows (groupName) and columns (month/year) the numerator (Sum(Fields!Days_In_Step.Value)) gives me good data, but the denominator (CountDistinct(Fields!ID.Value)) is also grouped by row (groupName) and I don't want that.
I have a SQL solution but am trying to do this entire within SSRS expressions, if possible.
edit
Sample Data:
It would look like this. The background is that these groupings are counts of days and the "all" are counts of tickets, so we are trying to see who is sitting on their tickets longer.
Here is a mock-up including a sample data set using a pivot table:
Edit 2
Here is a full sample data set:
https://docs.google.com/spreadsheets/d/1rYPMcrLNB-FZN64Fn2-y3FtnM2iQo2VMH7YTdfiVnKM/edit?usp=sharing
I need to group on month as well as year, and I do not want to see "Exclude" in the group rows, however they cannot be filtered out of the tablix without being removed from the overall population, which is required for the denominator.
Your problem is caused by the scoping of aggregate functions. When you use aggregate function they run under the scope where it is placed in the tablix by default. In your case Sum() and CountDistinct() functions are running in both row groups (Owner Group) and column group (Month Group).
Fortunately, you can specify the scope that you want your aggregate function computes the aggregation, simply add the group name in the function:
CountDistinct(Fields!ID.Value,"MonthGroup")
The whole expression is like this:
=Round(Sum(Fields!Days_In_Step.Value)/
CountDistinct(Fields!ID.Value, "MonthGroup"),1, MidpointRounding.AwayFromZero)
Replace "MonthGroup" by the actual name of your group in columns
group.
This is result using the sample data you provided:
I've used this expression to show you how it is produced:
=Sum(Fields!Days.Value) & "/"
& CountDistinct(Fields!Ticket.Value,"MonthGroup") & "=" &
Sum(Fields!Days.Value)/CountDistinct(Fields!Ticket.Value,"MonthGroup")
Note my column group is named MonthGroup.
UPDATE: Scoping multiple groups in CountDistinct function.
Firstly I am not filtering the dataset, I prefer hide the Exclude rows using the below expression in the Hidden property of the Row Visibility window:
=IIF(Fields!Group.Value="Exclude" OR Fields!Group.Value="-1",true,false)
To count distinct id grouping by Month and Year but not by Group you can create a child group below Month group as you can see below:
My group is called Group2 and I used this expression in the Group on textbox.
=Fields!End_Month.Value & "-" & Fields!End_Year.Value
It will create a group per every Month-Year combination. When you create the group it will be added as a column group so you will have to delete the row so you will be prompted if you want to delete the group and row or delete the row only. Delete only the row leaving the group.
Now the expression you have to use is
=Round(Sum(Fields!Days.Value)/CountDistinct(Fields!ID.Value, "Group2"),1,MidpointRounding.AwayFromZero)
Replace Group2 by the name of the created group in your case.
This is the whole recreation of your scenario:
Let me know if this helps.
I have a table in my database that holds numerical values collected from a user's input. How could I add those values together and display that number on the website, with the number updating every time a new number is inputed.
SELECT SUM(value) FROM table
Something like this? You should also look into GROUP BY.
EDIT:
It could be you're meaning that you have a value and you want to increment it by n. Then you can look at this example code.
UPDATE table SET value = value + n WHERE id = 123
Where n is the value you want to increment it by.
I would query a master table of IDs that has the running total of values.
Then, via any inserts into some alternate table that keeps each individual entry accounted for, there is a trigger that forces a SQL-Update to the master table... This way, you don't have to keep doing a web-based query that is always doing a GROUP BY for the results.
If this is a little confusing, think of an inventory system. You have one master item table of all possible inventory items. It has an "on hand" count. Then, as sales of an item are sold, the "on hand" count is reduced by however many are purchased. You are not going to each individual sales order and counting grouped by a given ID, you just go to thee master inventory item table and have that "on hand" count.