Hi I have some insurance data and I am trying to put multiple variables on my map but got stuck. I am using tableau public in my desktop.
To understand what I am plotting, I am interested in if the data is Direct or Agent and if the data is HO3 proudct or BC product. How my data is set up is one column is Direct HO3, another Direct BC, Agent HO3 and another Agent BC. It is broken down by zip with corresponding county.
I tried to use dual axis but with 4 combination first dual layer is Agency (HO3 & BC) and my second dual layer is Direct (HO3 & BC). I need help either putting 4 of these data by using color shelves or hide the second graph as shown. The two charts are the same but I can't get 4 data plotted at the same time. I can't seem to put all 4 columns of data plotted with 1 dual axis chart. All of my data are measures no dimensions except zip code and county column. I do think it has to do with how my raw data is but I am not sure how to modify my raw data so tableau will plot the way I need.
I created hide/un-hide fields to hide data that has 0 HO-3 policy count or 0 BC policy count. Second picture is from my raw data.
Looking at your dataset one thought that will work is you can pivot all 4 columns that you are planning to view on the sheet.
Create a chart with pivoted values and then drop the pivoted field name on to the color which will differentiate your measures and show to user
Related
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 problem that I have reduced to its essence with the following CSV file. Imagine we're a company that sells potatos and apples, and each customer is assigned a potato-class and an apple-class.
What I want is to plot the sales according to class - so apple sales by apple class and potato sales by potato class, in one diagram. Dragging all the measures into a workheet, I get this:
So I would like an overlay of the top left and bottom right classes.
If I combine everything into one diagram via dual axis, I get this:
So Tableau is plotting potato sales and apple sales on both the potato and the apple class axis, creating four dots per class where I want two.
Does anyone have an idea on how to basically assign one measure to one axis instead of both measures to both axes? (Hiding the "wrong" dots would also be fine).
Also, I realize that pivoting the dataset to have fields "sales", "class" and "product" would solve the problem, but reality is of course far more complicated than this toy example and it's just not feasible.
Thanks!
You'll likely have an easier time if you reshape your data first, say to have the following columns "Customer,Item,Class,Amount" -- so each row in your original data set would yield 2 rows in the transformed version of your data set. Tableau Prep can make those types of transformations easy (and repeatable), but it is possible to do something similar in Tableau Desktop alone (using a self-union and some calculated fields).
So the first 2 lines might be:
Customer,Item,Class,Amount
1,"Apple",1,2
1,"Potato",1,4
Either way make sure Class is treated as a dimension in Tableau.
Data wranglers often call this a tall format instead of a wide format.
I have a form data wherein tableau I am using the below value to find out the choices for a multiple value question. The question is Could you please indicate one or two areas where we fell short.
the value can be explosives, vehicles, cement etc
I have individually accounted for each of the choices in the below calculated field:
int(contains(lower([Could you please indicate one / two of the following areas where we fell short of meeting your expectations?]),'factory'))
Similarly I have found out for other values:
The calculated fields are hasvehicle, hasfactory etc
But the problem is how can I visualize the same in the form of bars?
All I am able to do is this:
How can I visualise the same in the form of bars side by side?
When you have one measure on Rows, drag the second measure and drop it in the axis.
It will result with Measure Names on the Columns shelf and Measure Values on the rows shelf.
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?