I want to visualize the unique count for a field aggregated daily and weekly per day in the same sheet. But timelion aggregation affects the entire sheet instead of just a single chart.
The expression I am using to get the daily unique count is
.es(metric='cardinality:userId').bars().title('Unique users over time')
If I change the bucket range on the right to 1d, I get the correct chart. How do I create the weekly aggregation?
There is a possibility to specify the interval used for timelion expressions by specifying interval as 1d or respectively 1w in the es() function. For details, please see the docs here.
In your case this should work with the following expression:
.es(metric='cardinality:userId',interval=1w).bars().title('Unique users per week')
Be aware of the comment inside the docs, stating that this should not be used in favor of working with the interval picker. But probably this is a use case where it is okay to do it like this...
Related
I am trying to use the drill through filter to take my user to other data related to that date. Essentially I have an overview page and I want the user to click on a date and drill through to the next page, where it will show them test scores nearest to that date.
I think I need to do two things 1) store the filter date as a variable so I can use it to find the nearest test date to the filtered date 2) create measures which ignore the filtered drill through date and can for example calculate the minimum or maximum test scores on all the tests overall.
I'm not sure if either of these options are possible but any help is greatly appreciated. TIA
I'm trying to order the date ascendantly in the X axis of the chart. And I've set it up that way here:
However, this happens:
Is there a way to work around this? 25 January should be the last bar. I've tried changing data formats to see if it would order properly but with no success.
You haven't specified how you are generating this graph, but it looks like you've done a Terms aggregation on the date field. The order by you are showing is then for the terms count. If you look right above that, it probably says order by: Metric count. What you want it to say is Order by: term.
In any event, in general, you don't want to aggregate by date like that. Instead choose a Date Histogram aggregation. That will allow the time filter/aggregation bucket size to be changed.
My company has tasked with slicing the information on turnover and to create different graphs.
My source data looks like this: Relevant columns are: Voluntary/Involuntary, Termination Reason, Country, Production, and TermDateKey
I am trying to get counts using different filters on the data. I managed to get the basic monthly total using the formula:
Term Month Count = GROUPBY('Turnover Source','Turnover Source'[TermDateKey],"Turnover Total Count", COUNTX(CURRENTGROUP(),'Turnover Source'[TermDateKey]))
This gave me a new sheet with the counts for each month.
Table that shows TermDateKey on Column 1, and Counts on column 2
I am trying to add onto this table by adding counts but using different filters.
For example, I am trying to add another column that gives me the monthly count but filtered for 'Turnover Source'[Voluntary/Involuntary]=="Voluntary". Then another column for 'Turnover Source'[Voluntary/Involuntary]=="Involuntary" and so on. I have not found anywhere that shows me how to do this and when I add in the FILTER function it says that GROUPBY(...) can only work on CURRENTGROUP().
Can some one point me to a resource that will give me the solution I need? I am at a loss, thank you all.
It looks like you may not be aware that you don't have to calculate all possible groupings with DAX formulas.
The very nature of Power BI is that you use a column like "Termination Reason" on an X axis or in the legend of a visual. Any measure that you have created on values of another column, for e.g. a count of all rows, will then automatically be calculated to be grouped by the values in "Termination Reason", giving you a count of each of the values in the column.
You do NOT need DAX functions to calculate the grouping values for each measure for each column value combination.
Here is some simple sample data that has been grouped into dates and colours, one chart showing a count of each colour and one chart showing a sum of the Value column. No DAX was written for that.
If your scenario is different, please explain.
I'm using Kibana 5.5 and would like to create a visualization that shows percentage of successful transactions made to my server.
In order to do that I have a field in the document named "httpCode" and I would like to get the percentage of "httpCode: 200" out of the total transactions made.
I managed to put this in visulalization that does separate lines, but I would like to get percentage over time and not count.
Thanks,
Moshe
Create a new bar or area chart and choose count as aggregation, set your field for Date Histogram. Next in buckets tab add Split Series and choose Filters as Sub Aggregation. Your first filter should look like that:
Filter 1
httpCode:200
Use http.keyword instead if is available.
Filter 2
NOT httpCode:200
Go to Metrics & Axes tab, expand LeftAxis-1 and change mode to percentage:
On my exmaple it should look like that:
I am indexing user data for each day and using Kibana to analyse it, so far I am able to visualize all my requirement. But I am not able to visualize following use case
I want to analyse total number of user,repeated number of users from previous day and how many are unique.
I can visualize total number of user for day , but how do I compare today's data from yesterday.
Any help appreciated.
Thanks in advance
I hope I understand your requirement correctly, but you could create a Vertical Bar Chart visualization with Kibana and change the default 'Count' to 'Unique Count', select the field you like to do the unique count for and then add an X-Axis with a date histogram on your timestamp field.
This will create a bar chart and each bar will contain the unique count for each time interval. So if you select 7 days as your timeframe and 1 day interval in your X-Axis date histogram, you'll see the unique count per day.