Power BI - Visualizing Outliers - Part 1

แชร์
ฝัง
  • เผยแพร่เมื่อ 23 ส.ค. 2024

ความคิดเห็น • 33

  • @qiancasper
    @qiancasper 3 ปีที่แล้ว +1

    It's really helpful for my current situation. Now I'm learning how to to implement this into realistic job flow

    • @NPT
      @NPT  3 ปีที่แล้ว +1

      Awesome to hear Casper!

    • @gauravsukhadia638
      @gauravsukhadia638 2 ปีที่แล้ว

      Same here learning how to implement this into real business problem. 🙂

  • @lisagalley
    @lisagalley 5 ปีที่แล้ว +1

    This was great. Hope to see more Power BI tips from you.

  • @feng3625
    @feng3625 3 ปีที่แล้ว +1

    very wonderful piece. Thank you very much!

    • @NPT
      @NPT  3 ปีที่แล้ว

      You're welcome Feng!

  • @shreyakhullar2919
    @shreyakhullar2919 4 ปีที่แล้ว

    Excellent description of outliers...Thanks !!

  • @jazzista1967
    @jazzista1967 6 ปีที่แล้ว +1

    Great explanation of outliers..will use this technique at work..

    • @NPT
      @NPT  6 ปีที่แล้ว

      Thanks jazzista1967, glad to hear the explanation is useful. 😀

    • @jazzista1967
      @jazzista1967 6 ปีที่แล้ว

      Thanks for posting. Just subscribed to your channel. Your outlier technique gave me an idea on how to detect differences in my accounting accruals specially on the swings of values month over month! Great channel.

  • @rauljimenez5485
    @rauljimenez5485 4 ปีที่แล้ว +1

    Great explanation and tools!! Another interesting analysis could be the cost per sq.ft The cost could be related to the size, but looking at it as $/sq.ft might be more meaningful. I know this is just an explanation of the tools, just sharing the thought. Thank you very much for the video, it is very useful!!!

    • @NPT
      @NPT  4 ปีที่แล้ว +1

      Great observation Raul! I'm glad you find the videos helpful.

  • @pedja2518
    @pedja2518 2 ปีที่แล้ว +1

    Great video! Thnx

    • @NPT
      @NPT  2 ปีที่แล้ว

      Glad you liked it!

  • @angelmaravilla4708
    @angelmaravilla4708 ปีที่แล้ว

    That visual (Power Bi Outliers Detection) is not longer available in Power Bi, do you knwo why or what can I do to get it???
    PD: Great video

  • @brandonwarfield5611
    @brandonwarfield5611 8 หลายเดือนก่อน +1

    Finally found something I understand but can't use because app no longer exist in power bi. 😭😭

  • @a.amiracle2579
    @a.amiracle2579 4 ปีที่แล้ว +1

    Great explanation, thank you!

    • @dashbyron8548
      @dashbyron8548 3 ปีที่แล้ว

      you probably dont give a shit but does any of you know a method to log back into an instagram account?
      I somehow forgot the login password. I would love any tips you can offer me.

    • @coengiovanni4769
      @coengiovanni4769 3 ปีที่แล้ว

      @Dash Byron Instablaster =)

    • @dashbyron8548
      @dashbyron8548 3 ปีที่แล้ว

      @Coen Giovanni I really appreciate your reply. I found the site through google and I'm waiting for the hacking stuff now.
      Seems to take quite some time so I will reply here later when my account password hopefully is recovered.

    • @dashbyron8548
      @dashbyron8548 3 ปีที่แล้ว

      @Coen Giovanni it did the trick and I actually got access to my account again. I'm so happy:D
      Thank you so much, you really help me out !

    • @coengiovanni4769
      @coengiovanni4769 3 ปีที่แล้ว

      @Dash Byron glad I could help :D

  • @toshiehabu4755
    @toshiehabu4755 3 ปีที่แล้ว

    To be able to use the Outlier detector, the PowerBI has to install 3 packages. But I couldn't DMwR install. So it didn't work. DmWr seems removed from R. Does this visual (Outlier detector) still work?

  • @guustvandijck4505
    @guustvandijck4505 5 ปีที่แล้ว

    Hi Nathan! Great post. Just one question; I´m actually just interested in the outliers and would therefor like to use this visual as a drillthrough/ filter for another visual. So I would like to press on the datapoint of a particular outlier, so that it filters a table that is in the same page. Do you know if this is now possible? Really looking for the interaction with other visuals here...

  • @jaydobya
    @jaydobya 4 ปีที่แล้ว

    How were you able to have a non-aggregated column in your measure formula ?

  • @user-ug5wk2cv5f
    @user-ug5wk2cv5f ปีที่แล้ว +1

    Outliers detection plot is not present in power bi

  • @solomonrobert67
    @solomonrobert67 5 ปีที่แล้ว

    Excellent description of Outliers. Have learnt a new stuff which will help me.
    Have a doubt here in the DAX you have written for ZScore. The DAX starts with ([Market Value]) which do not have a table mentioned to it. I have an exactly similar scenario which I am writing the same DAX. But unable to execute it. I get the below error:
    ZScore = ('PSC_Tokyo MoU'[Deficiency Count] - AVERAGE('PSC_Tokyo MoU'[Deficiency Count]))/STDEVX.S('PSC_Tokyo MoU'[Deficiency Count])
    Error: Too few arguments were passed to the STDEVX.S function. The minimum argument count for the function is 2
    Can you please help?

    • @NPT
      @NPT  2 ปีที่แล้ว +1

      I'm sure you've worked it out by now. But it looks like you need to add the table reference to the STDEVX.S function. Maybe like this...
      STDEVX.S(RELATEDTABLE(PSC_Tokyo MoU), PSC_Tokyo MoU[Deficiency Count])

  • @chetankumarm5823
    @chetankumarm5823 5 ปีที่แล้ว

    Can we drill through by using scatter plot

  • @ashwinkumar5223
    @ashwinkumar5223 11 หลายเดือนก่อน

    Please share the dataset file

  • @suryasurya3905
    @suryasurya3905 6 ปีที่แล้ว

    Hi need help on DAX,I have a data of columns names as ,student name and status(pass/fail).so need to calculate the pass% and fail% for total ppulation of students with the use of dax funftion.Can any one help me to get the dax function.

    • @NPT
      @NPT  6 ปีที่แล้ว

      Hi Kamesh, since you already have the pass and fail status, I would do a count of each status as a separate measure and then use the measure to divide by a COUNT of all records. So one measure that counts PASS, another that counts FAIL, and then use the results as the numerator over the total count.

  • @jaydobya
    @jaydobya 4 ปีที่แล้ว

    ...