Here is the snippet of the tableau work sheet i want to add weekly quality and case count data as well along with avg quality and case count
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Im fairly sure what im attempting is not the ideal way to do things due to my lack of knowledge of power BI but here goes:
I have two tables in the form of:
One has the actual power against wind and the other is a reference
I created calculated columns that add a corresponding binned speed to each row (so 1-2, 2-3, 3-4 etc)
I have filters and slicers applied on the page / visual that will keep changing.
What i want is to create a pivot or a grouped table that is changed dynamically based on my filters.
The reason i want this is currently the table ive got has totals that are averaged (because individual row is averaged) but i want a sum of an average by category. If i can have this as a calculated table instead of a visual (picture below) i would likely be able to aggregate this again to get what i want
so on the above table i want to totals to be sum of individual rows. I also want to be able to use these totals to carry out other calculations (simple stuff like total divided by fixed number etc)
I am using Power Bi to produce several reports, one of it is the NPS score for support. However, I am coming across an issue with the clustered column chart. It is showing the value against the total number rather than for each row.
What I want to see if the following (within Excel),
The NPS score is shown as a percentage for each week.
e.g. Week 3 has the Promoter at 95.5% and Detractor at 4.5%
However, when using Power Bi, I am shown the following, which is a Percentage of the grand total, instead of each week.
Using a Matrix, I could see the following as total numbers.
I can copy this Matrix and show it as a Percentage of each Row, which is also correctly showing the results.
I have the dates already set up using a feeder table to allow me to get the week number etc from a date within the main raw data, so they sort in the correct order..
My Chart is using the following table entries
Cal Week and WeekNo are both from the feeder table (Fiscal)
Net Promoter and Count of Case Num are from the RawData table.
How can I get the chart to show the percentages per week instead of the total?
I am also planning to use slicers to filter down further, for example, Regions (which are in the RawData).
I believe I will need to add an extra column to the RawData, but no idea what to put in it and then how to use that in the chart, and still allow it to slice.
Any help would be greatly appreciated.
Thanks
DD
I have a line chart that tracks the fill rate performance of more than 50 suppliers (Year/Month).My dashboard includes a filter for the suppliers.I would like to compare the performance of a given supplier against the collective performance of every one else.
Basically, I created this measure to calculate the fill rate:
3DAYS_FILLRATE = SUM(TBL_METRICS[SHIP3DAYS])/sum(TBL_METRICS[TOTALORDERS])
How can I create another measure that retains the performance trend of all the suppliers when the filter is applied?
Image of graph in Power BI is below:
In the case that you are trying to filter a second visualisation containing the same measure and you are filtering using a slicer or other visualisation, you can click onto the visualisation you are filtering with, click on the 'Format' tab and click on 'Edit Interactions'. Then select none on the visualisation you wish to not filter. See Microsoft Documentation: https://learn.microsoft.com/en-us/power-bi/service-reports-visual-interactions
Otherwise, you may be able to try creating the following second measure which could satisfy your needs:
Measure 2 = Calculate(SUM(TBL_METRICS[SHIP3DAYS])/sum(TBL_METRICS[TOTALORDERS]), all(tbl_metrics))
I am a very basic user of tableau and I have not found an answer to my question.
I have a txt file that has historical daily data for 98% of all the stocks in the US, with their daily capitalization. Each stocks has its TICKER, Daily Market Value for every trading day of the year, and its SECTOR.
I did a simple time series that display SUM([Mktval]) (sum of all individual market values) across all stocks, on a daily daily, and where I can see that the total value as of 2016 is about 24 Trillion USD, as in the image below.
When I change the view column from DAY to YEAR, I don't see the right values, but something a lot larger. So I realized that I need to do SUM([Mktval])/252 to get the right value for a year (there are 252 trading days in a year).
If I change the view to MONTH, as in the chart below, the numbers are again wrong because 252 is not the right value to use in the division.
Is there any way that Tableau can adjust the values automatically to reflect the AVG MktVal across different time intervals?
Thanks
Replace SUM(Mktval) on the Rows shelf with the following calculated field
avg({ fixed day(Date1) : sum(Mktval) })
That solution is all in one step. It is perhaps a bit more clear to use 2 steps. First, create a calculated field called total_daily_market_value defined as
{ fixed day(Date1) : sum(Mktval) }
Then make sure that calculated field is a measure. It is an LOD calculation that you can think of as a separate table with one value for each day showing the total market value for that day.
Drag that measure to a shelf, and then change the aggregation function to AVG(), MEDIAN(), MIN(), MAX() or STDEV() as desired. Tableau will aggregate the total_daily_market_value using your chosen aggregation function for whatever values of Date1 are in your view.
I am new to tableau. I am just trying the simplest task: I want to draw a stock price time trend. I have data and I have price. But no matter how I tried, tableau seems no option for this raw data drawing-- you have to select a measure, whether sum or average or count but no option for just raw data. Can someone tell me how to do this? Thx!
Sum should be fine and as you add dimensions the granularity will be determined. For example, Take one of your stocks and add the date to columns and the symbol to rows. Most likely you want to see daily close price so right click and change to exact date. At this point the sum shouldn't matter because you should only have one price for each day in your record. If you have hourly price data, I would suggest using close price or change the date to the hour level.
In the Analysis menu uncheck aggregate measures, then no aggregations are performed on the measures and you see all the values.