I have a data set downloaded from the Social Security website. The data is in the form below, and contains the popularity (i.e., as defined by Count) of names, by gender, year and state:
State Gender Year Name Count First Letter
AK F 1910 Anna 10 A
AK F 1910 Annie 12 A
AK F 1911 Annie 6 A
AK F 1912 Alice 5 A
AK M 1912 Wilbur 7 W
AK M 1912 Thomas 7 T
Within Tableau, I'd like to Top X names by each of these categories (or all if not filters are applied). However, when I use a Top filter in a visualization, the underlying data produced by the filter is the form:
For example, I need the first ranked name, and be able to use filters to see how that changes by year, gender, and state. I'm thinking this might be accomplished by an LOD expression, but not sure where to start.
You can achieve this without needing a LOD calculation. Simply change your filters from standard blue dimension filters to be context filters. To do this simply right click on the filter when it is in the filter pane and click "Add to Context". The filter will be shown as grey. Now all ranks will be calculated after filters have been apllied
Why does this work? It is to do with the Order of Operations in Tableau. A calculation such as rank is a table calculation. As the name implies the calculation is processed on the entire data table before dimension filters are applied. However, when something is a context filter it creates temporary tables which are then used to calculate table cals.
Find out more here: https://www.google.com.au/search?q=order+of+operations+tableau&oq=order+of+operations+tableau&aqs=chrome..69i57j0j69i65j0j69i65j0.3475j0j7&sourceid=chrome&ie=UTF-8
Related
looking to have a basic text grid by month by product, and then have a single filter on only 2 of the measures. For example:
Measures Filter
------------------
[ ] Sales <-- only show this
[X] Quantity <-- and this as options
[ ] Interest (don't show in filter)
[ ] Fee ( don't show in filter)
JAN | FEB | MAR | APR | MAY | etc ...
products
ITEM1 x x x x x
ITEM2 x x x x x
ITEM3 x x x x x
So the user can basically toggle between Sales or Quantity, and whichever they click on will fill out the x by month.
I was able to get this to work for everything except only showing the 2 measures I want to filter for. It only shows all measures for me in the filter and I can't figure out how to hide them.
What I did was
Drag Date to columns
Drag Product and MeasureNames to Rows
Can someone please help me on getting this correct? Any help or guidance is appreciated!
This is not the correct use case of FILTERS. Filters are normally used to filter (read subset) the data (read rows). Say for example If your dataset has 1000 rows/records and you want some report/visual/aggregation on say 500 rows (based on some criteria of course) you have to filter the data. For selection of argument (user based) in some report/viz, etc. Parameters are used.
Your desired example output is also a perfect case of use of Parameters. You may proceed as follows-
Step-1 Create a parameter (say parameter 1) with values as SALES and QUANTITY.
Step-2 Create a calculated field (say CF1) with the following calculation
CASE [parameter 1]
WHEN 'SALES` THEN [sales]
WHEN 'Quantity' then [Quantity]
END
Note: It is assumed that your field/column names in dataset are sales and Quantity
Step-3 Build your view (Crosstab here) with
months on Columns shelf
products on rows shelf
CF1 on text in Marks card (alternatively just double click it)
Choose measure for aggregation of CF1 as desired (default will be sum)
Step-4 right click paramter 1 and click show parameter. (select desired measure for aggregation in crosstab)
VOILA your desired view is complete. Good luck.
There is another options to add to Anil's good suggestion. You can also use Measure Names as a filter. Hide all measures apart from those you want in the filter, then put Measure Names on the filter shelf.
However, this means you can't use the hidden measures from the data source elsewhere, which can be a deal breaker. Duplicating the data source is a way around that limitation.
But if you only want to show the 2 measures and are happy with single select, then choosing the measure by parameter is the better option, as Anil suggests.
I have a dataset with dog ids, dog names, and neighborhoods. I would like to display the n most popular dog names for each neighborhood. How can I do that?
I figured how to display counts for each name in each neighborhood, by simply dragging 'Neighborhood' and 'Animal Name' in 'Rows', and 'CNT(Animal Name)' in 'Columns'. But I don't know how to select the top 3 or 4 names for each neighborhood.
I'm going to use Tableau's Sample Superstore dataset to walk through one way you can show the top N number of Products by Category. This example will easily transfer to Dog Names by Neighborhood.
I'll start by creating a Tableau calculation we'll use as a filter later.
RANK(COUNT([Product Name]))
I'll then put the Category and Product Names dimension on the Rows shelf and the Count of Product Names on the Text marks card.
We'll then place our Production Popularity table calculation on the filter shelf.
When the dialog box appears, just click OK.
Now we need to edit how our Table calculation runs to get the Top N Product Names within each Category.
Select Specific dimension and then uncheck Category or Neighborhood in your case.
Now we need to go edit our filter.
For this example, I'll set the upper limit to 3.
Click OK and you should see the top 3 Product Names by Category.
Of course, you'll want to adjust this example to fit your data.
Hope this was helpful. Happy vizzing!
I Can't figure out how to partition by more than 1 field in tableau.
Data landscape - I have 2 dimension fields: id (string) and platformtype (str). I have 2 measures: total_usage(float) and month (int). Using Tableau Desktop 10.3.3 on a mac.
Goal - I am trying to create a view with a single bar chart that shows the top N ids by total_usage in a given month. I'd like to filter by month and by platform_type, and to be able to change N (say, in the range of 5 - 25 in steps of 5).
Can anyone help?
After you you place month on the filter shelf, add it to the context. Then you will first filter by month before applying other filters, such as the top N filter on ids.
Apologies if this question is trivially easy, I'm still learning Tableau.
I have data where the variables Set and Subset are arranged by week (W1 to W52) and by Source (A or B). So if I put Week into Rows and create the calculated fields
SUM(Set)
SUM(Subset)
Rate = {INCLUDE Source: SUM(Subset) / SUM(Set)}
I get data that look like this:
Week SUM(Set) SUM(Subset) Rate
A B A B A B
W1 1234 123 567 56 45.95% 45.53%
So far, so good. But what I really want is the percentage difference between Rate(A) and Rate(B) by week:
Diff = (Rate.A - Rate.B) / Rate.B
I could do this in a second if I were using Excel or R, but I can't seem to figure out how Tableau does it. Help?
There's a built in table calculation "Percent Difference" , you can deploy it using compute using Table across and relative to previous. For that you need to have continuous measures.
Something like this will be the calculation-:
(ZN(SUM([Quantity])) - LOOKUP(ZN(SUM([Quantity])), -1)) / ABS(LOOKUP(ZN(SUM([Quantity])), -1))
Create two different for "Set" & "Subset"
Does WINDOW_SUM actually sort the data? what if my table looks like this
userid | price
1 | 5
2 | 6
3 | 7
1 | 10
and say I need the output like below (just one column)
total_price_by_user
15
6
7
clearly I need a sum distinct as a calculated field so I can do the below but I wonder if window_sum actually sorts the data or not and the userid should not be displayed in the output so it should exactly look like above?
WINDOW_SUM(IIF(ATTR([userid])==ZN(LOOKUP(ATTR([userid]), -1)), 0, [price]))
You are working too hard.
Just put make sure Userid is a discrete (blue) dimension and then place it on a shelf, such as the Rows shelf. Then make sure price is a continuous (green) measure and place it on a shelf, such se the Columns shelf. Tableau will aggregate the data and display the sum of all the price values for each user id.
To change a field from dimension to measure, simply drag it to the appropriate section in the data pane on the left (i.e. the pane showing all the field names)
If you want Tableau to sort your users by sum, click the sort button in the toolbar.
Save table calculations like Window_Sum() and lookup() for the occasional special cases that the simpler approaches don't cover.