in Microstrategy Dossier, is it possible to create 2 rows of header, such that the first row is the grouping information and spans to number of columns to identify as a group? for example : group "Inbound costs" should span to "Dep1 | Dep2 | Dep3" and "Outbound costs should span to " Transportation | Energy | Warehouse " ?
It will be a bit different if you are grouping attributes or metrics, but I think it should work either way.
If grouping attributes, that is pretty straightforward. Put the attribute in the columns, then right-click and select "Create Groups...". From there, put the elements into one group that is labeled "Inbound Costs" and make another that is labeled "Outbound Costs". Once you have the group made, then just drag in the original attribute under it. Might need to play with formatting to make sure that the repetitive cells are merged and centered, but that would group the attributes across the columns.
If grouping metrics, it is a bit more involved. First, do "Change Visualization" on your grid and set it to "Compound Grid". This will allow you set the different sets of columns that behave differently.
Then, put the "Inbound Costs" into one column set and the "Outbound Costs" into another column set. This groups them, but doesn't label them quite yet.
To label them, right-click on any attribute in the dataset panel and select "Create attribute...". Name the attribute whatever you'd like and have the definition be "Inbound Costs" and set the data type to "String". Drag this new attribute above the metrics in the first column group (making sure it is still in the group). Repeat the same for "Outbound Costs" and then work on formatting to merge the repetitive labels and center.
Here is a quick screenshot of how I was able to make it look using some fake data, if that is what you were indeed trying to do.
Related
I want to create a calculated column that is equal to the percent of the total of the previous column, but only for the rows that are selected.
For example, the two columns below show rows where I've filtered for only the rows of interest. The sum is accurate, but I want the percent of the total to be only out of sum of the currently selected rows rather than the absolute total (which is how it's currently being calculated). I want the percent of the total to dynamically change depending on what is filtered in the data table. Is this possible?
Image of my 2 columns:
I know spotfire somehow calculates this becuase when I insert a bar graph using % of Total(SumofComponents) the ratio is only out of the current total.
Image of my bar chart:
much like in programming, Spotfire has a rough concept of scope. and unfortunately, calculated columns are above filters in terms of scope; they have no concept of what is and is not filtered.
visualizations themselves, however, do*!
what you can do in this case is to put your expression on the Y axis (it looks like you've done this), and it will respect your selected filters*.
*caveats: there are a few ways that filtering can be negated on a given visualization:
Properties>>Appearance>>Show shadows indicating the unfiltered data. this option shows a grey bar that represents the data hidden by whatever filter selection was made
Properties>>Data>>Limit data using filterings. these options allow the viz to use separate filtering sets ("Filter Schemes" as they're called in Spotfire) or none at all (to ignore filters completely)
Properties>>Subsets. by default there are three subsets: "All Data" which ignores filters, "Not in current filtering" which inverts the filter selection (e.g., if you filter a boolean column to show only TRUE, this chart would show only FALSE), and "Current filtering" which is the default behavior. you can check the online help for additional subsets that you can add.
I have 4-5 tables of single and many rows per ID. I want to generate a summary table listing each ID along with various counts and max/mins, but I want to be able to filter on calculations. Example: "ID" is the identifier and there are two tables, TestA and TestB.
One desired selection criteria: Show only those IDs where at least one TestA score >5 and there is at least one TestB score.
In a straight table, this is simple to do with expressions, but the resulting table cannot be selected on the calculated true/false value.
I think I need to create a new table in the load script containing the ID, and then various conditions labeled as I wish. Then, these fields could be dimensions. This seems similar in concept to a master calendar. Am I on the right track?
If it helps to understand my example, this a medical application; the tables are lab results and other interventions that each require complex queries pulling data from various sources that are very "hard-coded" to produce a small data set from millions of rows of highly normalized source data. The desired dimensions would be combinations of the labs so as to allow identification of patients who meet certain criteria--then, once filtered, there would be many more graphs and charts to identify what tests and procedures were followed for that group of patients.
My current data model just loads many tables which then associate on ID. I had attempted to load all data into one big table using concatenates and calculations, but this did not seem to accomplish what I needed and was difficult to manage.
IIUC, I think what you want to do can be accomplished with a combination of sliders/input boxes, variables and calculated dimensions in your table. The process is definitely burdensome, but it should allow you filter the way you want.
Add a field to your table load statement in your script like rnum as RowNo().
Create a variable for your filter(s). Ex. vFilterTestAScore.
Add a slider or input box to your dashboard and point it to that variable.
a. For slider, the option is in the General tab -> Data header -> select the Variable radio button.
b. For input box, add the correct var from the list to the list of Displayed Variables.
Set sliders/input boxes to the criteria you want: vFilterTestAScore = 5 and vFilterTestBScore = 1
Create a straight table with ID as the dimension and expressions for TestAScore and TestBScore. The expression formulas would be sum(TestAScore) and sum(TestBScore) respectively (this won't make sense until the next step).
Now add a calculated dimension to you table. The idea here is that rather than just having the ID dimension, you will create a calculated dimension that only displays the ID of the records that meet the criteria you select in the slider or enter in the input box. The formula should be something like:
if(aggr(sum(TestA), rnum) >= vFilterTestAScore, ID, null()) or for multiple filters: if((aggr(sum(TestA), rnum) >= vFilterTestAScore) and (aggr(sum(TestB), rnum) >= vFilterTestBScore), ID, null()).
On your new calculated dimension, check the 'Suppress When Value is Null' box so only results that meet your criteria are displayed in your table.
To summarize, you are using the variables to store your selection criteria which you are entering via input box or slider. Then you are conditionally displaying only the ID's in your table that match those criteria via a calculated dimension and 'Suppress When Null' option.
I can send you a .qvw if you aren't using the free personal edition and are able to open other qvw's.
in the table below, I would like to graph a subset of the columns, specifically the ones highlighted in green. however, I would like to compute the percentage based upon the grand total of the whole set. filtering columns rescopes the data set and hence the denominator.
I would like to show and graph columns "4" and "Excellent value (5)" while retaining the current "Grand Total." for the ct row, for example, the value would be 8/14 for column "4", and likewise for other cells.
as a candidate solution, I created a secondary table which references the table shown below. is this the cleanest way to accomplish the goal? it seems a bit kludgey and rather time consuming.
ultimately this graph will be rendered in sharepoint so it needs the dynamic interaction with the ssas data. I am assuming that this will be the case since my derived table is using the GetPivotData function which the parent table uses.
You need an ALL() to open out the filter context which in turn means that it doesn't matter which columns are selected.
Assuming you have a table called 'table' and a column called 'response_id' you could use something like:
= SUM(COUNTROWS(table)) /
CALCULATE(COUNTROWS(table), ALL('table'[response_id]))
If your real life problem is more complex then you might need to adjust the ALL() to include other columns or look at ALLEXCEPT() to do the opposite.
Noob here, I have a table with different entries (rows) per different (repeating) regions.
I'd like to be able to display the data rows filtered - matching that particular region thanks - so I get those particular fields related to each region as a tooltip on a map. (I know how to build the map)
Thank you
Just dragging the fields you want to Details or Tooltip is not doing the trick?
Putting a measure on a shelf (other than filter shelf) includes that field in the visualization query results -- i.e. applies the chosen aggregation function to yield an aggregate result value for each partition of the data (as specified by the unique combination of dimensions)
Putting a dimension on a shelf (other than the filter shelf) also includes that field in the query results, but since the dimensions define how data rows are partitioned, it can affect the level of detail of the query. You'll notice this often as suddenly getting many more marks in your visualization after you add a dimension to a shelf. If you are familiar with SQL, dimensions define the fields that follow the GROUP BY keyword.
EDIT
Thanks for the addition, #AlexBlakemore. I've never said dragging a dimension would not work, only that it wouldn't work as the OP wanted it to (basically the same as you're saying).
And though everything you said (above) is true, it's particularly not exact when it comes to maps. Yes, dragging a dimension will further partition the data, but it will not create additional marks on a map (unless it has also geographical properties). Rather, the tooltip will get the first occurrence of that dimension, and display data for that only. For instance, if you drag "Product" to details, and the possible values are "Bread", "Coffee" and "Milk", it will probably just show "Product: Bread", and the measures for "Bread" only. So yes, it will partition, but no, it won't create additional marks.
Back to OP problem. What I believe you want is a tool tip with all values of the dimension (in my poor example you'd like to see "Bread, Coffee, Milk"). Tableau does not have functions to aggregate strings yet, so it's hard to do so.
What I would suggest is to create a separate sheet, and just drag the dimensions and measures you want to rows. Then put it side by side with the map on a dashboard, and use the map as a filter. Then, when you click on a country/region/city, you'll see the data of that region on the other chart.
Refer to: http://kb.tableausoftware.com/articles/knowledgebase/creating-filter-actions-dashboards
or https://www.tableausoftware.com/learn/tutorials/on-demand/authoring-interactivity
I am trying to create a chart that displays the average of a parameter of an entire category. The problem is that in sheet 1,2,3,4, etc, the charts I have reflect one parameter, so when I go to compare this parameter to the average in my new sheet, I only get the average of the fields that have been selected in prior sheets. I want it so that I can create a new chart with one bar as an average of the entire population, and another bar in the same chart that depicts the average of the selected parameter(s). Ideally, I would have two dimensions/x axis categories, one for the selected criteria, and one for average of all categories. Can someone help?
Thanks.
I believe the way to handle this is with set analysis. You can create one expression with the normal avg(parameter) and another expression with some embedded set analysis. See example below.
Expression1: avg(parameter) // will agregate everything in the current selection
Expression2: avg({1<category='YourCategory'>}parameter) // will aggregate everything in a category that you set in the set analysis syntax.
With some more specific info I would be able to get you an actual expression, but hopefully this helps.
EDIT
Updated to reflect new information provided in the comments.
Expression1: avg(parameter)
Expression2: avg({1}parameter)
In set analysis syntax the {1} means the entire universe of data where as {$} is your current selection. In other words, 1 is your data with nothing selected. In my first example above, the {1<category='YourCategory'>} statement uses a modifier signified by the <> so that you would be performing the aggregation over the entire universe with only the value specified in YourCategory selected.
So if the scenario is that you have currently selected let's say, 5 zip codes, your current selection ({$}) would be those 5 zip codes and the entire universe ({1}) will be as if you selected no zip codes. Therefore comparing those two populations side-by-side in two Expressions should give you the comparison you want.
Caveat: Using the {1} syntax in your expression means that your average of "all zip codes" will always be the average with nothing selected unless you put something in the modifier as in my first example. See this more detailed explanation.