I am quite new to Qlik and I am trying to make a measure that counts different categories for outputing a bar graph with the count of each category on said graph. Anyone know how to do this?
Right now I am processing the raw data on Alteryx to output this, not sure if there is a way to couple the two programs.
I tried something like: Count({<Category={'Feature'}>}Category), but it does not really work. I will post a sample to help clarify how my df looks like and the graph that I need to output.
Related
let me further elaborate on my concern:
I am working on some test reports on BIRT to be familiarized with it and came across an unsettling problem.
I created a data source that connects to a test SQL Server database, a data source that will return building, floor, room, and the number of employees that contain more than one employee, and two String parameters that lets the user choose the building and floor so the report filters by just that one.
The problem happens when I test it with a building and floor that I know are in the result set. For some reason the report filters a blank result, as if the building and floors are not present in the data set result.
I tried filtering by just the building first and then the floor but the same thing happens. If I take out the filter then the report shows up without a problem.
Why does this happen? I am assuming it's the way I input the parameters, but I am not sure.
Can anyone help me? Thanks!
How do I link my activities variable to only the corresponding KPIs variable?
Using guidance from a number of sources, but primarily the genius of Jeffery Shafer articulated through the SuperDataScience video, I built a Sankey Diagram for my work. For the most part it works, however, I have been trying to figure out how to adjust my Sankey Diagram model to line up each activity with ONLY the corresponding KPIs, but am having no luck.
The data structure looks like this:
You'll note I changed the binary value to "", 2 instead of 0, 1 as it makes visual calculations easier. For the "Viz" variable, I have "Activity" for the raw data set, then I copy/paste/replicate the data to mirror the data (required for the model) but with "KPI" for the mirrored data.
In the following image, you'll see my main issue is that the smallest represented activity still shows as corresponding to all KPIs when in fact it does not. I want activity to line up only with the corresponding KPIs as some activities don't correspond with all, or even any, KPIs.
Finally, here is the model very similar to what the above video link shows:
Can someone help provide insight into how I can adjust the model to fit activities linking only to corresponding KPIs? I appreciate any insight. Thanks!
I have a solution to the issue, thanks to a helpful Tableau support member named Anthony. It was in the data structure. The data was not structured to only associate "Activities" with their "KPI" values within Tableau's requirements, but every "Activities" value with every "KPI" value. As a result, to achieve the desired result, the data needs to be restructured to only contain a row for every valid "Activities" and "KPI" combination. See the visual below where data is removed to format properly:
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Once the table is restructured, the desired visual result should configure with the model. It works like a charm!
Good luck out there!
Well, I'm absolute newbie in Google Data Studio, but for any reason, my grand totals rows is not working.
I'm learning to use this tool, and I made an easy table with just countries and sessions.
Piece of Cake. Now I just want to add a total row where it sums all sessions. That's all. I activated option Show Summary Row but it shows nothing.
Thing's I've done and not worked:
Update and refresh
Changed time period and tried different dates just in case.
Delete and create again full table.
Checked connection. I get data and the data is right, I just cannot sum it.
Changed size and format of table, just in case it where a problems or margins or font color.
And I know it can be done, because different sources. I've read this question here:
Grand Total is wrong in Google Data Studio
But it did not help. In that question, a user posted an image in the comments:
As you can see, he managed to get what I'm trying to do.
So I must be doing something wrong, and I do not why.
UPDATE 2: If I apply a filter, I get no totals. You can see my config in the right side of image.
Can anybody give me a clue of how to make a grand totals row in Google Data Studio?
Thanks
Sounds like a bug. It should be a case of selecting that tick box. Strangely, I looked at an existing table I have with totals and when I unticked the box and then ticked again, the totals didn't reappear and disappeared off another table on the page (like your example). They did reappear eventually with some refreshing of the data and page but seems like there's something wrong with them.
I don't think this is a bug I think it part of the design.
I actually just discovered the reason this is happening at least for me, it doesn't actually sum the values in the table, the grand total summary of a table is a sum of whatever the metric being used is not the actual rows shown in the chart. so if you have a dimension (like age / gender) where there is data thresholding applied internally by google but are using a metric such as users you will see the grand total from the metric value without the thresholding applied from the dimension.
Proof below
You can see the grand total for column 2 is not 953.6 its 453.6 and if i look at a non threshold dimension (country)
you can see where the 953.6 comes from since the data source supplied to the table uses 80% of all users 1192 * .8 give me 953.6 which is what the grand total is displaying. Conclusion, the only way this number could be possible is if, when using a threshold dimension for a table with metric there will be a discrepancy since the grand total value is not coming from the table values but rather from metric source data, which will not have the tables dimension applied for some odd reason.
it might be possible I'm searching for the wrong keywords, but so far I couldn't find anything useful.
My problem is quite simple: At the moment I get a list of individual Ids through a report parameter, I pass them to a procedure and show the results.
The new request is like this: Instead of showing the list for all individuals at once, there should be a list for each individual id.
Since I'm quite a beginner in srss, I thought the easiest approach would be the best: Create a subreport, copy the shown list, and create a subreport per individual id.
The amount of this IDs is dynamic, so I have to create a dynamic amount of subreports.
Funny enought, this doesnt seem to be possible. This http://forums.asp.net/t/1397645.aspx url doesnt show exactly the problem, but it shows the limit of the subreports.
I even ran trough the whole msdn pages starting http://technet.microsoft.com/en-us/library/dd220581.aspx but I couldnt find anything there.
So is there a possibility, to create a loop like:
For each Individual ID in Individual IDs, create a subreport and pass ONE ID to this?
Or is there another approach I should use to make this work?
I tried to create a 'Fake'-Dataset with no sql query but just for iterating the id list, but it seems the dataset needs a data-source...
As usual, thanks so far for all answers!
Matthias Müller
Or is there another approach I should use to make this work?
You didn't provide much detail about what sort of information needs to be included in the subreport, but assuming it's a small amount of data (say, showing a personnel record), and not a huge amount (such as a persons sales for the last year), a List might be the way to go.
I tried to create a 'Fake'-Dataset with no sql query but just for iterating the id list, but it seems the dataset needs a data-source...
All datasets require a data source, though if you're merely hard-coding some fake return data, any data source will do, even a local SQL instance with nothing in it.
I'm trying to obtain a list of articles and order them by their popularity over time. For example, older articles should rank lower even if they have a higher number of views.
In order to do this each article has a view count and a posted date. I'm guessing the simplest way would be to divide the article view count by the date posted... something like:
(view_count+comment_count) / date_posted = trend_score
I'm trying to understand if this is possible with the Django ORM, even if it is raw SQL? Would appreciate any help.
I guess the simpliest and most effective way to do is to add a trend_score field to your model and update it when the model is saved (you neeed to save the model anyways if you have a view count/comment count on it). Then you can easily filter by this field. You can fore sure do it somehow with SQL, but if you have to update the values you need to update already within your model, calculate also the score upon saving.