I just started working with Tableau and I fail to find a way to filter dimensions/metrics on the dashboard based on the user's previous selection.
We use MongoDB NoSQL database to store various events sent from our system.
Event consist of Key-Value pairs (translated to metrics and dimensions), each event has a unique Id (EventType) and a list of parameters.
The number of parameters per EventType is constant but vary between event types.
When we connect the Events catalog to Tableau (using MongoDB BI connector) we receive a flat table with all possible keys while only the ones that apply to the specific event has a value.
Since we have a lot of event types and a large number of possible keys (between them) this cause problems when using the dashboard.
The user see a flat list of all possible dimensions and metrics with no correlation between them.
He can not know which metric apply to which eventType.
How can I can guide Tableau to present/highlight only the relevant dimensions / metrics, based on the EventType selected by the user?
You click on the down arrow in the top right of the filter and then select Only Show Relevant Values.
Click for screenshot
Related
Well, let's say that I have the query from my previous question: How to do multi graph time series on Grafana with Kusto
Then I'd like to consume the tiemposCicloBruto variable from one panel to another in order to avoid repeating queries.
I saw: https://grafana.com/blog/2020/10/14/learn-grafana-share-query-results-between-panels-to-reduce-load-time/
But there isn't any way to share variables at all...
I also tried it as a dashboard variable, but it doesn't seem to support tabular expressions at all...
You can share only input variables across dashboard panels. Variables work as primitive text substitution in one direction (from dashboard to query), and do not take into account any context in your query language.
Your link tells about sharing results of the query between different panels. If exact same result set returned to a panel fits your needs, you can reuse it "for free", without putting load on the database. You don't need to save it into any variable, you just set it as a pseudo-datasource and you get the result immediately.
You can factor this feature into design of you panels. Examples could be:
time series plus histogram visualizations of the same data;
time-series chart plus a panel with latest readings (or use other Grafana reduce expressions).
I have a question regarding a data entry form for project pricing estimates I am currently building.
To give you some context: The form will be used to enter data and complete calculations. It will replace an excel spreadsheet comprising of 59 columns, 1-15 rows (it varies by requirements) per project estimate. Average number of projects is 50-60 per year saved in respective customer folders. If there is an update to the estimate, a new version of the spreadsheet is created and saved in the respective customer folder. Hence, in certain scenarios, there are can be up to 10 versions saved per customer per project.
I am seeking to create a form-table combination for each of the customers: hence 10-15 forms with the same structure. Currently, I am only creating one form and table combination as a test. The table designed to replace the spreadsheet will use a total of 30 auto number foreign keys to store information. To be user friendly, I am using combo boxes in my form, where the user types in text but is stored as a foreign key in the table.
On top of this, I need to include calculations. For example, if the user selects certain options from my combo boxes, this will result in a calculated answer in an adjoining form field. Part of the calculated answer will use data in a linked table from another access database. Based on the options selected in the form combo boxes, the database will scan specific columns in the linked table to find matching entries to the selected combo box options. If a match exists, a price is extracted from that linked table. So say the combo box options selected are origin Miami and destination Salt Lake City, the database will scan for those 2 entries in the linked table. If that entry combination is found in the linked table, this price is to be used in the calculation. This price will then be multiplied by two other components entered by the user in the form, resulting in the calculated answer.
My questions:
Regarding the calculation example I gave above, can the above scenario be realistically accomplished in Microsoft Access? If so I am assuming I have to use VBA and/or Macros to do so?
a. If so, is it suitable to use my data entry form to complete it? Or is there an alternate way to achieve this result?
Will 30 combo boxes combined with such calculations have a significant impact on the speed of my form and database, especially as more data is added to the form and given that 10-15 forms will use the same structure? I have thus far included half of the combo boxes in 1 form, completed 1 test entry and I find that occasionally there is a slight lag when opening the form.
a. If it will impact my form's performance, what are my options/other form controls I can use to minimize lag and maximize speed?
Many thanks in advance!
I want to query my graphite server to retrieve certain metrics.
I am able to query all data points between certain time period but my requirement is, I want to query data points of specific time of previous days.
How can I do this?
The Graphite Render API supports a number of arguments in order to make your query more specific. Specifically, the from / until arguments will be useful to you, you can read about them here: https://graphite.readthedocs.io/en/latest/render_api.html#from-until
edit: I should add that if you're using Grafana for visulaising your data, you can click+drag on the graph to select specific time ranges or use the timepicker in the top-right corner to choose Custom and set your range there.
I've a problem with the dashboard in Tableau. In the dashboard there are many worksheets, and all the columns that are in the report are calculable. The problem is that dashboard is being formed for a very long time. The report contains approximately 2 million rows. And it is generated about 5 minutes.
Tell me, what are the solutions in this case?
Maybe I can somehow adjust the page display and not all the records at once?
To reduce the calculation time, try to exclude data you don't need with a data source filter in tableau. You can also hide or delete unused calculated fields. Other things you can do is reduce sheets that are not used.
Here's a link: https://www.tableau.com/about/blog/2016/1/5-tips-make-your-dashboards-more-performant-48574
Steps to follow to reduce calculation time:
Extract the data and use Extract data and also keep option as extract instead of live.Also replace the data source using extract data.
Use "User Filter" to reduce calculation time so that tableau will display of particular user data only.
I hope this will work to solve your problems.
I have one more idea to resolve this issue.
1)when you loan first time your dashboard put into Dashboard Action Filter
First Time load dashboard data exclude in your sheet.
Dashboard Menu->Action->add action->select sheet and exclude option.
2) Live to Extract data source and select radio button extract.
3)use user filter.
I am following the other answers (use extract, dashboard action filter...) and I want to add one point:
Drag every field used by any tablesheet on the dashboard on "Detail" of every tablesheet you are using on the Dashboard. Now Tableau loads all needed data while loading the first tablesheet and can use this data for the other sheets.
i.e. A dashboard contains three tablesheets (A, B, C) now you drag every field used by A on "Deatil" of B and C, every field used by B on "Deatil" of A and C, every field used by C on "Deatil" of B and A.
We are also having a similar issue with 150 million rows but I want to check if you are doing following steps. This may help you. This goes back to fundamentals of Tableau reporting.
1/ Try to make sure your data set is in star schema format. This will help a lot in report.
2/ Try to have tables and views in DB in such a way that same columns are used in Tableau. Any extra columns in tables adds to the performance issue.
3/Make sure indexing is done properly for all the fields that are joined.
4/ In my experience Dashboard adds extra performance lag. So make sure you try to get as much performance tuning on sheets as possible before even going to dashboard.
5/ If required try to use materialized views.
hope this helps.
Try to capture performance metrics using performance recorder option in Tableau.
Check for the underlying DB tables and joins present on the data source layer.
Try using optimized sets and parameters as required and get rid of less relevant filters.
Try using data extracts with scheduled refresh with data source filter for limited business years data.
I am creating a data blend and combining 2 excel files. I have volume
data dummy as primary data source & lifecycle dummy as secondary.
The common key is Ticket Id. Have created a calculated field to find the ticket
time which is Ticket Time =
DATEDIFF('day',ATTR([LifeCycle Dummy].[Assigned]),ATTR([LifeCycle Dummy].[Closed]))
Now i am not able to figure out how to show average ticket time per month or
at various other dimensions available such as priority, status etc. If i
remove the ticket id and only keep ticket time then the blend does not work. Do
advice if this can be achieved. Attached picture for reference.
If you want to show average ticket time per month, or any data based calculation, you'll need to join the data sources on Date also - looking at your screenshot they don;t appear to be linked yet. To enable them to be linked both fields must have exactly the same name, then you can click the paperclip icon next to the field to link it.