In Tableau, I am trying to figure out how to sum up the percentages of two columns. I calculated the percentages using the percentages of command and used the table option, from the analysis menu. This generated the table shown below. I would like a column that sums the 4 and 5 columns together to show a total percentage of 59.76 which is 26.83+32.93 from columns 4 and 5. How would I create this calculated field?
How I generated the percentages:
Related
I am trying to evenly split a ranking table into two.
I tried to create a calculated field using rank to divide the data into two groups.
The problem with this approach is that there are too many entries in the first column because they are tie with rank 1.
I don't want to break the tie but display evenly in both columns.
So, desired output will look like...
25 states with Rank 1 are displayed in column 1, and the rest 12 rank 1 states and the other states from rank 38 to 49 are displayed in column 2.
In order to split your rows within a specif number (say 25) you can't rely just on rank due to same values for multiple rows.
Even though your Rank calculated field must be shown in the chart, you can add another calculated field based on rank_unique which will provide you a progressive number for rows having the same value for the specified metric.
Just use the specified function:
RANK_UNIQUE(SUM([Value]),'desc')
And then use the calculated field as a filter to "split" the results as you need (in this example 1-4, 5-8).
I have a data table with three dimensions and one measure. For each row, I am trying to calculate the percentage of total (calculated by taking the sum of rows) using a calculated field.
As seen in the screenshot attached, For the column titles 'Dec-19' I want the values to be a percentage of current value / grand total (calculated at the bottom as 122,187)
Screenshot of DataTable:
So e.g. for the Column B value of 2000, the Dec-19 column should be (97/122,187) * 100 = 0.079.
I have achieved this by creating a calculated field with the formula: SUM (sales) / MAX ({EXCLUDE (Column B): Sum (sales}), where sales is the measure used in the datatable.
However, upon application of filter on column B, the percentage value changes. e.g. if I select the value 2000 in my filter for column B, I get the percentage as 100%. It seems as if the percentage is being calculated based on only the rows in the filter.
Since you haven't included any sample data, I created some sample data like this, hope this resemble yours.
Thereafter, I built a cross-tab view in tableau, somewhat like yours
If that is the scenario, use a calculated field, say CF like this, instead of yours
([Sales])/
{FIXED [Col1], DATETRUNC('month', [Col3]) : sum([Sales])}
Dragging it in the view
and thus, filtering won't affect your calculation
I am using a Tableau worksheet having 10 factories (entries) and 10 measure values for each factory/entry. There are a total of 100 columns in my Tableau worksheet.
I want to hide all columns whose value is zero and only show non zero values. But since each column is a different measure value, I can't filter or sort them. How do I go about this?
If you have tableau prep, then melt your data in pivoting. In prep you can easily remove nil or zero values easily.
Ideally you should have 11 columns, 1 for factory_id and other 10 for measures.
Alternatively, break all 10 factories in 10 groups of data and Union them after adding an id field for each group.
This link will help https://www.tableau.com/about/blog/2018/4/how-perform-coordinated-pivots-tableau-prep-86661
I am trying to calculate average of 2 columns in another column in Tableau but difficult part is grand total is not getting average instead it is the sum of 3rd calculated field.
A B Calculated field
10 5 2
6 3 2
T 16 8 4 (Here I should get 2 instead it is taking sum of column)
Here I am unable to write separate formula for row totals and grand totals, Only one formula (Calculated Field) is allowed and when I am dragging on sheet it is by default aggregating to sum.
Note: I am expert in Crystal and BO but beginner in Tableau.
Update
Code used for LoD
{FIXED [Product Category]: AVG([Sales])}
Below image is what I got after implementation I have tried with 2 columns but the result is same if I use only one column (I am trying to get the average of sales)
You are almost there - the Grand Total by default does a SUM function you just have use the Total All Using --> Average option.
Output : Level wise SUM(Profit) later averaged across columns and rows. (Show Column Grand Total & Show Row Grand Total active)
Update: Answering the question below. To get the Row-wise avg (which is Cat1-vag in this case) you could just drop the measure and change it to AVG(). Since you needed in a Calculated Field you could use a Simple FIXED LOD. You can also uncheck aggregated measures from Analysis dropdown and have no Dimension in column or row like unlike what this example shows and still get three different averages. Cheers.
{FIXED [Cat1]:AVG([Profit])}
Check out this very smart work around from Joe Mako.
https://community.tableau.com/thread/112791
create a calc field like:
IF FIRST()==0 THEN
WINDOW_AVG(SUM([Sales]),0,IIF(FIRST()==0,LAST(),0))
END
duplicate your Category field
place "Category (copy)" on the level of detail
set the compute using for the calc field pill to use "Category (copy)"
The window function in the calculated field only takes into account what's in the view, and aggregate based on those number.
I am trying to find the difference between 2 columns in tableau. The catch though here is that each column is ranked based on a value. The difference i need is between these 2 ranked columns
The rank is computed using the table calculations rank function. Attaching the picture for more information
I am assuming "current" and "prior" are calculated fields.
Just create a new calculated field, here I'll call it "Result". In this field just minus your one from the other so:
[Current - Prior]
Then pull this new field into your measures values on your sheet.