What I have is:
A flat PowerPivot (V2) table to show the data as an ordinary Excel table (very much simplified, it's much wider):
|Starting date|Container|Color|Price|Price inc Tax|
|01.01.2009|container 240|blue|2,50 €|3,05 €|
|01.01.2009|container 240|red |3,60 €|4,39 €|
|01.01.2009|container 360|blue|4,20 €|5,12 €|
Might it be possible to format PowerPivot table so that the summarized columns are not in the end of a row? I'm trying to make a price list/catalog tool. There are a lot of fields in the table and some are less important and I'd like them to be shown after the prices. Starting date, Container and Color are column labels and the Price and Price Tax are summarized data.
Narutally I can't move the summarized data from Value area to Row or Column area in the field list, but is there any other way to reorder the columns so that I get the summarized data e.g. in between Starting date and Container?
Thanks!
Its possible but not totally straightforward.
Writing a measure that returns text is easy for instance:
=VALUES(Table1[Container])
....will return the text from a Column called Container in 'Table1' but ONLY if the context which has been established means that there is only one value for container (VALUES returns a single column table of all values that haven't been filtered out by the current context).
To make this robust you would need to trap errors so your whole formula would look like:
=IF(COUNTROWS(VALUES(Table1[Container]))>1,BLANK(),VALUES(Table1[Container]))
Once perfected this measure can be place after the more important data.
HTH
Jacob
Related
Collections Sheet
Expenses Sheet
Hi, I would like to get the daily sum/difference of the expenses from the expenses sheet then output to collections sheet using dates as reference/identifier.
I tried this code =MINUS(C8,INDEX(Expenses!20:31,12,2)) but I want it to auto compute when I drag the box. sorry for bad english. thank you
Desired output:
Desired Output
Output at (Net) Cash On Hand Row / Reference Date Column, the output should be August 1 Collection - August 1 Expenses.
The main issue is with the structure of your expense sheet, since you need to use only every second column. For this you can use various methods, something like
=split(substitute(join(";",Expenses!A2:DJ2),"Total:;",""),";")
The join function takes the whole row and joins it into one string, the substitute function removes the Total: from it, along with the trailing ; and the split function separates it again to separate values. This will be an array, automatically spread out to 31(-ish) columns width if entered into a cell like C10 on your Collections sheet.
Then you have two options, simply do =C8-C10 in C9, which you can drag with no problem. You can also hide the row 10 by making the text color white, or even integrate it in that sheet.
My recommendation however is not to do any of that, instead enter the formula
=arrayformula(C8:AG8 - split(substitute(join(";",Expenses!A2:DJ2),"Total:;",""),";")
into C9 on the Collections sheet and it's taken care of, without the need to drag it out. You might need to tweak it, not sure if the AG8 and DJ2 are the correct columns to end them on (should be the last column if every column or every 2 columns is a day). The arrayformula makes sure that the subtractions are done automatically for each pair of values, and expanded automatically into the row. Make sure that there are no values or formulas in D9:AG9, so it can fill up the values automatically and you don't get a #REF error.
I have a SQL query that acts as a data source in my tableau desktop:
SELECT
row_number() over (order by sales) as rn,
article_number,
country,
SUM(sold_items) as si,
SUM(sales) as sales
FROM data.sales
WHERE sales.order_date between '2021-01-01' and '2021-12-31'
GROUP BY 2, 3
On tableau I dragged rn to column and sales to row to generate a bar chart. The following is the output:
I want to convert this into a 0-100% distribution chart so that I can get the following result:
How can I achieve this? Also, I want the user to filter by country level so even if the # of records increase or decrease, the distribution should always be consistent with the filtered data.
You can do this with nested table calcs.
For example, the following uses the Superstore sample data set, and then first computes a running total of SUM(Sales) per day, then converts that to a percent of total. Notice the edit table calc dialog box - applying two back to back calculations in this case.
The x-axis in this example is Order-Date, and in your question, the the x-axis is a percentage somehow - so its not exactly what you requested but still shows that table calcs are an easy way to do these types of operations.
Also, realize you can just connect to the sales table directly, the custom sql isn’t adding any value, and in fact can defeat query optimizations that Tableau normally makes.
The tableau help docs explains table calculations. Pay attention to the discussion on partitioning and addressing.
I have raw data in Tableau that looks like:
Month,Total
2021-08,17
2021-09,34
2021-10,41
2021-11,26
2021-12,6
And by using the following calculation
RUNNING_SUM(
COUNTD(IF [Inserted At]>=[Parameters].[Start Date]
AND [Inserted At]<=[End Date]
THEN [Id] ELSE NULL END
))
/
LOOKUP(RUNNING_SUM(
COUNTD(IF [Inserted At]>=[Parameters].[Start Date]
AND [Inserted At]<=[End Date]
THEN [Id] ELSE NULL END
)),-1)*100-100
I get
Month,My_Calc
2021-08,NULL
2021-09,200
2021-10,80.4
2021-11,28.3
2021-12,5.1
And all I really want is 5.1 (last monthly value) as one big metric (% Month-Over-Month Growth).
How can I accomplish this?
I'm relatively new to Tableau and don't know how to use calculated fields in conjunction with the date groupings aspect to express I want to calculate month-over-month growth. I've tried the native year-over-year growth running total table calculation but that didn't end with the same result since I think my calculation method is different.
First a brief table calc intro, and then the answer at the end.
Most calculations in Tableau are actually performed by the data source (e.g. database server), and the results are then returned to Tableau (i.e. the client) for presentation. This separation of responsibilities allows high performance, even when facing very large data sets.
By contrast, table calculations operate on the table of query results that were returned from the server. They are executed late in the order of operations pipeline. That is why table calcs operate on aggregated data -- i.e. you have to ask for WINDOW_SUM(SUM([Sales)) and not WINDOW_SUM([Sales])
Table calcs give you an opportunity to make final passes of calculations over the query results returned from the data source before presentation to the user. You can for instance calculate a running total or make the visualization layout dynamically depend in part on the contents of the query results. This flexibility comes at a cost, the calculation is only one part of defining a table calc. You also have to specify how to apply the calculation to the table of summary results, known as partitioning and addressing. The Tableau on-line help has a useful definition of partitioning and addressing.
Essentially, table calcs are applied to blocks of summary data at a time, aka vectors or windows. Partitioning is how you tell Tableau how you wish to break up the summary query results into windows for purposes of applying your table calc. Addressing is how you specify the order in which you wish to traverse those partitions. Addressing is important for some table calcs, such as RUNNING_SUM, and unimportant for others, such as WINDOW_SUM.
Besides understanding partitioning and addressing very well, it is also helpful to learn about the functions INDEX(), SIZE(), FIRST(), LAST(), WINDOW_SUM(), LOOKUP() and (eventually) PREVIOUS_VALUE() to really understand table calcs. If you really understand them, you'll be able to implement all of these functions using just two of them as the fundamental ones.
Finally, to partially address your question:
You can use the boolean formula LAST() = 0 to tell if you are at the last value of your partition. If you use that formula as a filter, you can hide all the other values. You'll have to get partitioning and addressing specified correctly. You would essentially be fetching a batch of data from your server, using it in calculations on the client side, but only displaying part of it. This can be a bit brittle depending on which fields are on which shelves, but it can work.
Normally, it is more efficient to use a calculation that can be performed server-side, such as LOD calc, if that allows you to avoid fetching data only for client side calculations. But if the data is already fetched for another purpose, or if the calculation requires table calc features, such as the ability to depend on the order of the values, then table calcs are a good tool.
However you do it, the % month-to-month change from 2021.11 (a value of 26) to the value for 2021.12 (a value of 6) is not 5.1%.
It's (( 6 - 26 ) / 26) * 100 = -76.9 %
OK, starting from scratch, this works for me: ( I don't know how to get exactly the table format I want without using ShowMe and Flip, but it works. Anyone else? )
drag Date to rows, change it to combined Month(Date)
drag sales to column shelf
in showme select TEXT-TABLES
flip rows for columns using tool bar
that gets a table like the one you show above
Drag Sales to color (This is a trick to simply hold it for a minute ),
click the down-arrow on the new SALES pill in the mark card,
select "Add a table calculation",
select Running Total, of SUM, compute using Table(down), but don't close this popup window yet.
click Add Secondary Calculation checkbox at the bottom
select Percent Different From
compute using table down
relative to Previous
Accept your work by closing the popup (x).
NOW, change the new pill in the mark card from color to text
you can see the 5.1% at the bottom. Almost done.
Reformat again by clicking table in ShowMe
and flipping axes.
click the sales column header and hide it
create a new calculated field
label 'rows-from-bottom'
formula = last()
close the popup
drag the new pill rows-from-bottom to the filters shelf
select range 0 to 0
close the popup.
Done.
For the next two weeks you can see the finished workbook here
https://public.tableau.com/app/profile/wade.schuette/viz/month-to-month/hiderows?publish=yes
We are using Google Forms to collect data on our students. They use the same Google Form for all students, but as part of the form, they are asked the students name.
The data that ends up being collected you can see on the tab Form Responses 1 on the Google Sheet linked here.
I am attempting to use ImportRange to create a tab for each of the students. The formula that I am using for just one of the students is...
=QUERY(IMPORTRANGE("1nJANDP1fiQunxfxEf-EjwJrnIRICv6kLhYYY9XBXtD4", "Form Responses 1!A:I"),"SELECT * WHERE Col3 = 'Adam N.'")
You can take a look at the tab called Adam N. and you'll see it is kind of working.
One thing that doesn't seem to be working is when there is a text value in columns E-I, that text value doesn't end up showing on the Adam N. tab. Any ideas how I can get both the numbers and the text values to show up?
The other thing that seems to be a problem is the fact that on the Adam N. tab, the very first row has the same headers as the Form Responses 1 tab, but it also has the very first line of data. Any way to remove that?
Importrange is not needed since you are 'importing' from within the same spreadsheet. Also, I'd recommend using the (optional) header argument in query().
It is often noted that users are tempted to mix data types within a column. The query() function will give undesirable output. If a column is intended for numeric values then only numerical values must reside in that column. Date columns must only contain dates and text columns only contain text values.
This does not mean that numbers cannot appear in a text column as long as they are in a text format. So it is important to plan the columns in a table to make sure this rule is maintained regardless if the data table is created manually or via submissions from a Google Form.
Generally, the query() function will assume the greater number of cell types in a column to be that data type. For example, if there are 100 numbers and 20 text values in the same column then a numeric value will be assumed for that column. There is a good chance the text values will just be ignored. One way to avoid this, would be to convert everything to text.
See if this works
=ArrayFormula(QUERY(to_text('Form Responses 1'!A:I),"WHERE Col3 = 'Adam N.'", 1))
I have essentially a log file in a Google Sheets. Columns are "Date/time", "user", "asset accessed", and there will be multiple entries for the same date, though usually not time.
I'd like to use the timeline graph to show user activity, but the graph requires an aggregate view with one date (no time) per row, with a numeric count in second col. Is there a way using functions within Google Sheets to generate an aggregate "view" of this data and pass this to the timeline graph?
Well, I guess you'll have to create an auxiliary sheet, or just some columns with the summarized values for you chart.
From your description, I'll assume you're using 3 columns (ABC). Let's use columns D, E and F with the following formulas:
=ArrayFormula(Trunc(A:A))
=Unique(D:D)
=ArrayFormula(CountIf(D:D;E:E))
Since date values are actually a number (qtt of days since the epoch), and hours are decimals, the Trunc formula gets rid of the "time" part and leaves only the date. Just format the cells (apparently numbers) as dates and you'll see. Then Unique and CountIf do the summarizing.
There's surely different ways of doing this, perhaps more "elegantly", in a single formula. But I think that in this way it's more easy to understand and learn from. Also, you'll probably need to adapt the ranges to your actual columns positions (I hope that's not a problem).