Visualize complex survey data in Power BI

[@islamicknowledge4027]

The amount of precision and detail in your videos is very helpful. Thank you!

[@goldgarbagecan]

Hi, i am from Perú. You don't know how i suffered for a guide for build a graph and analyze a multiple choice survey data. No info in spanish, no info in Power BI community. Just you had the answer and finally i finished. Your video is gold and you need to put a guide for step by step that pivot and procedures that are very complex but useful in analizing multiple choice questions. Sound is not good, however the content is a gem. Thank you :) New Suscriber.

[@novala2004]

same here

[@me_youtube2318]

Thank you so much for making this. I was really stuck on how to get this type of survey data to work in Power BI. This is great!

[@JavierBerrios-wk6vt]

Very detailed explanation on how to solve a tricky problem with clear reasoning why. Thanks for putting together such helpful video.

[@yaksh82]

Simply resolved the issue of multiple response analysis. Thanks you

[@Slayonus]

Amazing video, it took me super long to find a video that covers this topic well; super happy that I found this. Thank you so much!

[@lindabond9307]

Thank you - it was doing my head in how to create the data model, which is the key to this problem. Great simple steps. You're very kind - thanks so much!

[@Angel-kr4qo]

Thank you soo much, the way you explain the proccess makes it really easy to follow. :)

[@ZohraYaqub-c8w]

This is exactly what I needed to learn! Thank you!

[@robertsheffer9054]

This is exellent and well explained! Just what I required.

[@rawazsulaiman3315]

Great video, well illustrated each steps. If you make a video for likert scale data visualization that would be super perfect ...

[@novala2004]

Thanks for this excellent explanation - it solved my issue immediately

[@jagenones6513]

Great tutorial! Thank you

[@byo0o1999]

Hi, what if i have wight in my data is there a way to use the weighted data in the visuals?

[@eirikemhjellen2736]

This helpt me very much, keep ut the good work!

[@igorrichwinferreira2801]

Thanks, for the video! Very helpful. But what if I want to display the data as a percentage (but no the grand total percentage)?

[@oneway5093]

Excellent explanation. can we get the sample data for excercise.

[@mohammedaltaf4877]

Excellent Job Brother

[@BIDataLab]

Thanks brother :)

[@nael4555]

Very good and useful video, thank you so much, I would like to practice what I learned in this video, could u please share the dataset?

[@piajavier8168]

can you do a crosstab table wherein the gender is separated into 2 columns pls. thanks

[@poojasivayogan1702]

Life saver! Thanks a ton!

[@devl4617]

Great work done

[@wesleyharper3253]

This is really cool stuff! Question, if I want to create measures that show the % of individuals who use each program what is the best way to go about doing that? Additionally, if I want to add slicers, for example a slicer for each department they work in what is the best way to go about doing that while still showing the aforementioned percentage measures correctly? Thank you for posting this, really helpful stuff.

[@duyoan3042]

thank you for your guide, it í very helpful

[@DSShinZoku]

many many thanks!

[@gmea1234]

Thank you!

[@ItsTheBlingBling]

Thanks for a great video! May I know how do I go about if I wanna see how many respondents have BOTH Outlook and Excel in their answers?

[@BIDataLab]

You just select both in the slicer

[@Marhan93]

Hi! Great video. My forms is addign a semi-colon to the final word, so PowerBI creates an additional empty "value" next to the indexes. I see that you have no special characters at the end of your multiple choice answers. Wondering if anyone had a solution so I could strip it out automatically/prevent the emptry row being made? (yours says "Word, Excel" whilemine says "Word;Excel;" for instance)

[@ominous_8991]

The video is excellent. Help me start breaking apart my survey, but I hit a snag. I am hoping someone can give me advice. The survey has 62 questions and 5 possible responses. I did separate columns, like gender, to another table using the index option shown in the video. However, with the questions, I would like to group them by category and perform calculations. For example, questions 1-8 are about Job Satisfaction and questions 9-14 are about Compensation. So I might want a break down of Female Hispanics. Any advice?

[@devl4617]

Please provide the dataset in the description, it would be really helpful.

[@BIDataLab]

Here is the link for the dataset: drive.google.com/drive/folders/1IdhysazoUFzAlOROrHjPFeK9q5GaRRMd?usp=sharing Let me know if you need anything else

[@4AlexeyR]

Hi, thanks for the video. Have a question. Do you know how to automate these steps with scripts to do not repeat manually for each column? Let's think we have a list of target columns.

[@BIDataLab]

I don't think we can do much to improve this sorry!

[@MAbdullah47]

can you post the resources?

[@asjones987]

Was there a reason you did not uses Split Column by Delimiter Advanced option to split into rows instead of columns?

[@BIDataLab]

I didn’t know that option at that time 😆

[@anastasiadushina4217]

Hi, thank you for your video, it's really useful. I just have one more question, is it possible to create the same visualizations of programs and motivators for percentage of employees, not number? Thank you!

[@BIDataLab]

Yes, absolutely, the simpliest way is to choose the value to show as % of total

[@carltonseymour869]

Interesting but why did you not leave it as a one-to-many relationship.

[@BIDataLab]

It would not filter

[@carltonseymour869]

@@BIDataLab Yes do agree but why would you need to filter as you can create a measure of "countrows" on the table you pulled out from the main table.

[@BIDataLab]

@@carltonseymour869 You can try it yourself, it will not work because of the filters we are taking from the other tables, and to filter that main table (where we create the countrows measure), the filter should be bidirectional. Of course, there are other advanced ways to create measures, but this approach is the easiest one.

[@carltonseymour869]

@@BIDataLab Thank you t is definitely the easiest.

[@Kidhypo12]

I am surprised that you did not get Error codes due to duplicates in the index column

[@BIDataLab]

No problem in 1:N relationship

[@irexhepi]

Nice

[@SoroushSohrabian]

Great

[@fatjanpaloja9182]

👍🏻👍🏻👍🏻

[@ShellLD]

Unfortunately I cant hear you even with my PC's volume turned up to maximum

[@inteligenciademercado4809]

The volume is too low

[@matthayward4411]

Thank you!