I am new to PowerBI and was hopping that someone could help me out.
I have several bar charts as well as tables with multiple variables for which all of them share one common column. The issue I am facing is that I want to sort the bar charts or tables based on a specific column and want the order for the rest to be updated simultaneously. Do you have any idea how I can achieve this?
Thank you in advance!
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My raw Qualtrics data looks something like this. Basically just 2 questions. Q1-where did you learn your tech skills from? and Q2-Do you agree with the following statement?
I want to plot clustered bar chart in Power BI that looks something like the link below. Basically, for Q1-where did you learn your tech skills from? Each cluster is a channel of learning, and within each cluster there is a standard response from not at all, to a small extent, to a moderate extent, to a great extent, entirely
I figured out I cannot plot straight from the raw Qualtrics data. However, if I unpivot just the columns for Q1, I can get the above clustered bar chart.
But here comes the problem. I have other questions with the same raw Qualtrics format. So I tried to unpivot columns for Q1 FIRST, and THEN unpivot the columns for Q2, and got the following, which does not make sense because Q1 has 4 sub-questions while Q2 has 5 sub-questions. This is like a m:m joins (if I make sense?)
So I thought maybe I could unpivot all the columns except for the Response ID column and I got this
Doing the above has several issues;
the number of rows gets large exponentially and imagine if I have many more questions and many more respondents, the data format just gets too large;
when I want to plot the clustered bar chart, I have no way to restrict the rows just to plot for Q1, or rows just to plot for Q2 etc.
I tried googling and was surprised there isn't a similar question before? given how Qualtrics is very well used for survey data.
Appreciate all your help in advance!
Your first step should be splitting the data from the different questions into separate tables, then "Unpivot Other Columns" but Response ID. You can later relate the tables in the report via this Response ID.
From here creating your column charts should be a no-brainer.
Starting with a list of question identifiers ("Q1", "Q2", ...) you can automate the splitting via a Custom Function
I doubt that with Qualtrics Excel imports you'll come anywhere close to Power BI's data limits. However, I am surprised that they are providing such an awkward interface.
I'm struggling with reusing one chart multiple times in one dashboard in apache-superset.
Is it possible to somehow reuse one chart several times in one dashboard with different values of filters applied? This would be very useful for viewing same metrics in different segments / for different products / customer types / geographical areas etc.
I couldn't find a way how to do it. Although it is quite straightforward to set different filter value for, say, different tab of the dashboard, it is not possible to add the same chart once it has been added to the dashboard, so only way I came up with is to copy each single chart in the dashboard n times where n is the sum of different filters I need.
I'm trying to create a dashboard having 20+ identical charts for 10 products in 5 countries, similar situation in different departments here..
Letting the users select each filter value from the dashboard filter is unusable as no one will want to do it and and hence will not do it.
Any advice how to achieve this or something similar would be greatly appreciated.
Thanks for any advice in advance.
I've trying out Power BI to solve some visualization problem in my organization and I've been working on desktop version of Power BI to try out its features.
I'm stuck at few issues and cannot find our way out of this.This is a sample view I've been trying to create:
Figure 1:
1
We've a dataset containing Product Opinion across gender, Age Group, Geography etc. and we want to pivot the opinion across different parameters as shown above.But when we use Matrix view of Power BI and add two parameters in columns, it creates a drill down view as shown below:
Figure 2: 2
On adding multiple fields in the column section we get an option to move down to next hierarchy as shown below:
Figure 3:3
Although we have the option to move down to hierarchy ,we are unable to show then side by side as we've shown in Figure 1.
Is there a way we can get the visualization as given in Figure 1 ?
Also, Currently the columns and rows are automatically sorted alphabetically. Is there a way we can adjust the column and row position as per our needs?
To sort the rows in a custom order, you will have to create an index table. The below link walks you through the steps involved:
http://www.excelnaccess.com/custom-sorting-in-power-bi/
Now, to achieve the visualization you are looking for, the only way I can think of is to create two matrix visualizations (One for gender and other for age group) and place them in such a way, that it gives the illusion of the same table. There might be a better way to do this, but I these workarounds work just fine. Hope this helps.
The table visualization, below, is made up of columns from different tables. I need the Enquiries and Variations columns to be added together and totaled below. What is the best way to accomplish this? These columns are all from different tables, hinging back onto the Region. Any thoughts and help is greatly appreciated.
I'm new power BI desktop. I want create a report like this template? I tried but I can't do that.enter image description here
Please help me.
There are a couple of different ways you can achieve this however this is how I would go about it.
The table itself can be created easily by inputting the table visual. Here the settings can be configured through the formatting tab.
The biggest issue you are having looks like it could be to do with the positive, negative numbers. There are actually a couple of really nice visuals that could help you with this: https://app.powerbi.com/visuals
The other alternative is to create your own visuals using R.