I am charting data with a Grafana table, and I want to aggregate all data points from a single day into one row in the table. As you can see below my current setup is displaying the values on a per / minute basis.
Question: How can I make a Grafana table that displays values aggregated by day?
| Day | ReCaptcha | T & C |
|-------------------|------------|-------|
| February 21, 2017 | 9,001 | 8,999 |
| February 20, 2017 | 42 | 17 |
| February 19, 2017 | ... | ... |
You can use the summarize function on the metrics panel.
Change the query by pressing the + then selecting transform
summarize(24h, sum, false) this will aggregate the past 24hr data points into a single point by summing them.
http://graphite.readthedocs.io/en/latest/functions.html#graphite.render.functions.summarize
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I am stuck on some problem on PBI.
Here is what I want.
I have a table with Team name and sales for every month of the year.
What I want is to take the top 3 of the teams in April month (Current Month -1) save their name in a variable and then filter a chart with those team name to have the sales for every month.
I have the top 3 teams in April but I cannot figure out how to use it in a variable to use it as a filter in the graph. I only get April month and not the entire year
TOP 3 team:
Team |REGION |DATE | Sales|
IHR8 |AMER |04/01/2021 | 1 439 816,00
ABP45 |EUR | 04/01/2021 |958 986,00
QP012 |ASIA |01/01/2021 | 569 863,00
I used rankx function to get the top 3 but when I filter it for the graph I only get the April data not the entire year.
I have a line chart created that displays the counts of rowIDs grouped by the month of an associated date. However, not every row has the date. If there is no date, I don't want it counted at all. My current semi-fix for this is adding a filter in the category group properties that excluded dates earlier than 1/1/1960. I tried "IsNothing(Date) <> true" type filters but they didn't work. I am guessing in the background the NULL dates are getting translated to 1/1/1900 or something.
With the Date > 1960 filter it works as I want, doesn't count any rows w/ NULL dates, almost. If any of the dates are in the future, specifically the next month, then all the NULL dates get counted in that month. If the date is more than 1 month in the future then no NULLs are counted, although the line skips months with no dates. I tried forcing it to 0 for those months but it doesn't work. I would think that's because of the way I'm grouping on the associated date. Such a grouping results in
| Month | Count |
|-------|-------|
| 10/20 | 2 |
| 1/21 | 4 |
when what it needs is something like
| Month | Count |
|-------|-------|
| 10/20 | 2 |
| 11/20 | |
| 12/20 | |
| 1/21 | 4 |
Does anyone have any idea what's causing the NULLs to get counted in the next month? Is there a better way to do what I'm trying to do so that the 0 months will show up?
I am looking for some help in displaying a set of numbers on my dashboard but I need to display the latest week whenever the dashboard is open but also allow the user to change the week that they are looking at through the filters.
My data is the following:
latest_week_rank | week_date | completed_orders
1 | 31/01/2020 | 3500
2 | 24/01/2020 | 6450
3 | 17/01/2020 | 6050
4 | 10/01/2020 | 6110
5 | 03/01/2020 | 4000
6 | 27/12/2019 | 3500
7 | 20/12/2019 | 7500
8 | 13/12/2019 | 7450
9 | 06/12/2019 | 7540
10 | 29/11/2019 | 6900
11 | 22/11/2019 | 7100
12 | 15/11/2019 | 7400
13 | 08/11/2019 | 7550
I am going to be using a Multi KPI Extension where I will display the volume of 3500 for the latest weeks volume in my data and then have a second measure to then display a % value to show if the volume is higher then previous week or lower.
so a formula: (3500 / 6450) giving me a % of 45.74% down
The tricky bit is how to do the expression/variable to show the default of the latest week but also having the ability to filter and pick another week which would then change the previous week if the selection of the week_date is changed.
I would really appreciate it if somebody could advise on how I could tackle this issue to display my data on my dashboard as I am fairly new to Qlik so just trying to get my head around how everything works.
I have managed to write expression which gives me the latest weeks volume and also allows me to filter and view previous weeks data.
Sum({<week_date={">=$(=Weekstart(max(week_date)))<=$(=Weekend(max(week_date)))"}>}completed_orders)
In regards to the percentage I have used the same code and then taken the latest weeks and divided the previous weeks . To get the previous week all I did was add a -1 to look at the previous week and then changed the option to show it as a %.
Code in the Data Tab:
set vvWeekOrders = Sum({<week_date={">=$(=Weekstart(max(week_date)))<=$(=Weekend(max(week_date)))"}>}completed_orders);
but this changes my values to 0, do i need to change the code if I am using set?
I have data that are structured as so:
| Node | Update Datetime | Measure Values |
|------|-----------------|----------------|
| A | 2018-01-01 | 1 |
| A | 2018-01-05 | 3 |
| A | 2018-01-06 | 4 |
| B | 2018-01-02 | 2 |
| B | 2018-01-03 | 4 |
The nodesare updated over time with the measure values showing the node's value at the time of data entry, meaning just filtering on a date range will overstate the node's value. The report needs to be responsive or else I would just do this in sql, but as it stands I need to be able to keep only the rows that contain the maximum datetime value within each node, after the entire dataset is filtered on a general date window.
I think creating a level-of-detail (LOD) calculated field and using it as a filter is the cleanest and quickest way to achieve the desired filter.
See Option 2 here -- http://kb.tableau.com/articles/howto/setting-default-date-to-most-recent-date-on-a-quick-filter?lang=en
Let me know if that does not work.
(FYI Tableau Community Forums is another resource for Tableau questions. I use both sites)
I am working with Spring batch. the batch will read several records each time from the database which look like this
personId |fromDate| toDate | someCode
*100 | 05-05-2011 | 31-12-2011 | A
*100 | 01-01-2012 | 31-12-2012 | A
100 | 01-01-2013 | 03-03-2013 | B
101 | 05-05-2011 | 31-12-2011 | A
*periodes to be merged.
What i want to do is to merge the periodes which has the same code and same personId, but not diffrent code or personId.
The first question is can i chunk this step? the problem is that commite intervals are static and i might not get all the priodes for a person in one chunk. is it possible to have dynamic chunks based on how many records for a person are on the table?
the next question is what is the best way to merge the periods? periods should be merged if the toDate is 31-12 and the next period starts from 01-01 of next year.
I solv the problem with using 2 pointer in each object. one which point to the previous period and one to the next period.
For chunking i needed to read all rows with same person id and aggregate them.