I want to plot a graph over a year+weeknumber on the x axis.
Each data-point contains this specific value; for example week 7 of 2016 is expressed as 201607 etc. and called YearWeek
I created a date table in which I calculate all possible YearWeek value in a certain date-range. Then I created a YearWeek table extracting all distinct YearWeeks.
This I connected to the Fact-Table. What I want to chart is exactly according to this matrix:
Note that I explicitly selected to show items with no data to obtain the full time line. It continues down to 201852 but you get the picture.
When I attempt to plot this, it results in this:
It's hopefully clear that the straight lines running from 201652 to 201700 and 201752 to 201800 are the problem.
There's three things to note:
I explicitly need to keep the x-axis continuous, no gaps in the plots or x-axis values skipping several weeks for lack of data.
PowerBI somehow does not want to accept that these values count to 52 and then continue in the next year and decides to make the values strictly numerical despite these values not existing in the YearWeek dimension table.
If I change the values to text, PowerBI recognises that these are distinct categories, but it won't provide a continuous axis, just the values for which there is data.
I've tried to connect the YearWeek Dim table to an actual Date Dim table hoping that time intelligence would kick in; the problem is that both for the Fact Table and the Date Dimension table the YearWeek Dim is the unique value which won't work given the filter-direction. If I start messing with many to many relationships or bi-directional filtering I'm out of my depth.
How to fix this?
Related
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 am trying to show the change in moving average by county on a map.
Currently, I have the calculated field for this:
IF ISNULL(LOOKUP(SUM([Covid Count]),-14)) THEN NULL ELSE
WINDOW_AVG(SUM([Covid Count]), -7, 0)-WINDOW_AVG(SUM([Covid Count]), -14, -7)
END
This works in creating a line graph where I filter the dates to only include 15 consecutive dates. This results in one point with the correct change in average.
I would like this to number to be plotted on a map but it says there are just null values.
The formula is only one part of defining a table calculation (a class of calculations performed client side tableau taking the aggregate query results returned from the data source)
Equally critical are the dimensions in play on the view to determine the level of detail of the query, and the instructions you provide to tell Tableau how to slice up or layout the query results before applying the table calc formula. This critical step is known as setting the “partitioning and addressing” for the table calc, sometimes also as setting the “compute using”. Read about it in the online help for table calcs. You can experiment with using the Edit Table Calc dialog by clicking on the corresponding pill.
In short, you probably have to a dimension, such as your Date field to some shelf - likely the detail shelf, and the set the partitioning and addressing, probably to partition by county and address by state.
If you have more than a couple of weeks of data, then you’ll get multiple marks per county. You may need to decide how to handle that on your map.
Can I cause Tableau to require a certain number of underlying data points before plotting a point on the graph?
For example, here's a graph showing average moods over the course of the day on Tuesdays:
There's nothing uniquely awful about midnight on Tuesdays, it's just that there's only one data point for that particular time, and it's an outlier. Is it possible to have the graph show midnight as missing unless there are more than (for example) three different records from midnight being averaged together?
You could define an aggregate calculated field, called say avg_mood as:
if count(Mood) >= 3 then avg(Mood) end
Since the aggregation is hard coded into the calculation, Tableau will display AGG(avg_mood) for the field on any shelves you use it on, rather than letting you toggle the aggregation outside the formula as it will for other measures.
Note, there is no else branch, so the calculation will evaluate to null if there are less than three non-null Moods in a partition of data rows (based on the dimensions)
You can control how null values are displayed in a line chart. On the format pane, select the field in question from the pull down menu by the word Fields at the top right of the format pane, then select the Pane tab, then at the bottom of the format pane, adjust the Mark settings in the Special value section.
It is a Tableau 8.3 Desktop Edition question.
I am trying to aggregate data using two different dimensions. So, I want to aggregate twice: first I want to sum over all the rows and then multiply the results in a cummulative manner (so I can build a graph). How do I do that? Ok, too vague, here follow some more details:
I have a set of historical data. The columns are the date, the rows are the categories.
Easy part: I would like to sum all the rows.
Hard part: Given this those summations I want to build a graph that for each date it shows the product of all the summations from the earlier date till this date.
In another words:
Take the sum of all rows, call it x_i, where i is the date.
For each date i find y_i such that y_i = x_0 * x_1 * ... * x_i (if there is missing data, consider it to be one)
Then show a line graph for the y values versus the date.
I have searched for a solution for this and tried to figure it out by myself, but failed.
Thank you very much for your time and help :)
You need n calculated fields (number of columns you have), and manually do the calculation you need:
y_i = sum(field0)*sum(field1)
Basically because you cannot iterate on columns. For tableau, each column represent a different dimension or measure. So it won't consider that there is a logic order among them, meaning, it won't assume that column A comes before column B. It will assume A and B are different things.
Tableau works better with tables organized as databases. So if you have year columns, you should reorganize your data, eliminate all those columns and create a single field called 'Date', which will identify the value of your measure for that date. Yes, you will have less columns but far more rows. But Tableau works better this way (for very good reasons).
Tableau 9.0 allows you to do that directly. I only watched a demo (it was launched yesterday), but I understand that now there is an option to selected those columns (in the Data Connection tab) and convert them to a database format.
With that done, you can use a PREVIOUS_VALUE function to help you. I'm not with Tableau right now. As soon as I get to it I'll update this with the final answer . Unless you take the lead and discover yourself before that ;)
We have data that is submitted that is only YTD numbers. I'm wondering how I could display numbers that are subtracted along the Date field.
Ie, if I want to show the MTD movement on March. I will have to go March less February.
Now I know I can do this for individual measure fields. But having around 40+ measures seems a bit tedious.
http://kb.tableausoftware.com/articles/knowledgebase/creating-ytd-mtd-calculations
I tried to enter "Measure Values" but that is not a valid measure to put in the calculation.
Is there a way to set up a custom dimension?
Thanks,
Gem
After days of research, can't be done in tableau unless you want to labour for a week creating an almost cell by cell calculation. Data transformation in SQL will be a more feasible solution.
I had pivoted the data previously in SQL, so that I end up with 1 measure column instead of 40+. That enables you to minimise the calculation fields, so that you don't have to repeat all the calculation for individual measures.
Works well. Not for ratios though, as you will need to extract individual measures again so that you can divide them against each other. It's got pros and cons. Number of rows in the DB also multiplies.
Other solutions that preserves the table structure will be to use temp tables and do calculations on several temp tables.