Cleaning Data With Power BI

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  • เผยแพร่เมื่อ 26 ม.ค. 2025

ความคิดเห็น • 37

  • @joanneosborne2428
    @joanneosborne2428 3 ปีที่แล้ว

    I'm very happy that I have stumbled upon the London Business Analytics Group YT channel. It has so many great power bi learning video's on all different topics. I am a big fan and would recommend that anyone learning Power BI watch all of them. I only wish I had found all these videos sooner. Thanks 😊

    • @LondonBusinessAnalyticsGroup
      @LondonBusinessAnalyticsGroup  3 ปีที่แล้ว

      Hi Joanne, Thanks for the recommendation. Glad you are enjoying the channel. We'll be getting many more video out from late April onwards. - Mark

  • @armi1353
    @armi1353 4 ปีที่แล้ว +1

    so useful! I had worked with this data set for modelling in Python, and cleaning it with Power BI is super easy comparably!

    • @LondonBusinessAnalyticsGroup
      @LondonBusinessAnalyticsGroup  4 ปีที่แล้ว

      Glad you enjoyed it Arm. We have lots more Power bI videos on our channel th-cam.com/users/londonbusinessanalyticsgroup

  • @CaribouDataScience
    @CaribouDataScience 3 ปีที่แล้ว +1

    Thanks, this was very interesting. On Kaggle the Titanic dataset is divided into 3 parts: train, test, and hidden. The objective is to predict who in the test data is going to survive.

  • @harsingh6451
    @harsingh6451 2 ปีที่แล้ว

    Excellent video, very clear and helpful instructions. Thank you.

  • @Onosoris
    @Onosoris 2 ปีที่แล้ว +1

    Nice course

  • @afeezadewale7542
    @afeezadewale7542 2 ปีที่แล้ว

    this is awesome and very helpful. Do you have full lecture on power bi.
    not able to download the data set in github

  • @dd-1280
    @dd-1280 3 ปีที่แล้ว +2

    Hi Mark, great video :) My question is regarding SipSP and ParCh. Why was it necessary to add "me" or 1 in the formula?

  • @aiwithr
    @aiwithr 3 ปีที่แล้ว

    How do you color codes for empty, missing and data? I was talking about transforming data in power query editor.

  • @allaboutfoodzbydebd8627
    @allaboutfoodzbydebd8627 4 ปีที่แล้ว +1

    good learning .. helpful for interview

  • @evelynchandia4898
    @evelynchandia4898 2 ปีที่แล้ว

    Thank you so much was on track everything was clear

  • @CrazyWatcher670
    @CrazyWatcher670 2 ปีที่แล้ว +1

    Thank you.

  • @akashmanojchoudhary3290
    @akashmanojchoudhary3290 2 ปีที่แล้ว

    How do you see distribution of each column? As you are doing by just clicking the column and see the statistics below. How do you do that ? Please help.

    • @LondonBusinessAnalyticsGroup
      @LondonBusinessAnalyticsGroup  2 ปีที่แล้ว

      Hi Akash, in View ribbon, enable the column distribution, column quality and column profile check boxes to see the green bars and column summary stats. - Mark

  • @Renichi2609
    @Renichi2609 3 ปีที่แล้ว

    Very useful for me, thanks a lots

  • @kittypistol9
    @kittypistol9 3 ปีที่แล้ว

    Does clicking on "Close & Apply" save all of the wok that we did if we wanted to pick up where we left off the next day after shutting down our computer? I had an issue where I saved my progress using "save as" but when I tried to open it 2 days later I kept getting error messages such as column "Pclass is not found", "name column not found", and it never loaded which forced me to do the entire tutorial all over again and I am worried that I'll lose my progress every time I log off POWER BI.

    • @LondonBusinessAnalyticsGroup
      @LondonBusinessAnalyticsGroup  3 ปีที่แล้ว +1

      Hi KittyPistol9, Yes, close and apply closes the Query Editor window and loads all the transformed data into Power BI. Then save the .PBIX file also. You should not lose your work - Mark

    • @kittypistol9
      @kittypistol9 3 ปีที่แล้ว

      @@LondonBusinessAnalyticsGroup Thank you, Mark! Such a helpful video. I learned a lot.

  • @jemiryroycesarceda5901
    @jemiryroycesarceda5901 2 ปีที่แล้ว

    Hello cannot access the file. Can I have it for practice?

  • @nishantpurohit100
    @nishantpurohit100 2 ปีที่แล้ว

    Good video..thanks a lot!!

  • @karunamishra9190
    @karunamishra9190 3 ปีที่แล้ว

    Thank you for this wonderful session, one question: how did you enable Column statistics and Value distribution in the table?

    • @LondonBusinessAnalyticsGroup
      @LondonBusinessAnalyticsGroup  3 ปีที่แล้ว

      HI Karuna, Switch on the three Column... checkboxes in the Query Editor ribbon. Glad you liked it. - Mark

  • @shubhraspc
    @shubhraspc 4 ปีที่แล้ว +1

    Wonderful sir...

  • @mayowaadeleye1949
    @mayowaadeleye1949 4 ปีที่แล้ว +1

    Thank you

  • @shahriar713
    @shahriar713 4 ปีที่แล้ว +1

    Hi Mark, could you please share your machine's specifications with me? I have been searching to buy a new machine to kick start Power BI courses. My current laptop specs are terrible:
    Processor Intel(R) Core(TM) i3-5005U
    Installed Physical Memory (RAM) 4.00 GB
    Available Physical Memory 457 MB
    Thank you,
    Diego

    • @LondonBusinessAnalyticsGroup
      @LondonBusinessAnalyticsGroup  4 ปีที่แล้ว +3

      Hi Diego, I have a 8GB RAM Surface. I think 8Gb is the minimum for Power BI Desktop to run well. - Mark

    • @shahriar713
      @shahriar713 4 ปีที่แล้ว

      @@LondonBusinessAnalyticsGroup Much appreciated Mark, I really enjoy watching your videos. Learnt a lot since I began watching LBAG channel on youtube. God bless. Diego

  • @reubennjoroge8426
    @reubennjoroge8426 2 ปีที่แล้ว

    Thank you for the wonderful presentation, but you were a bit too fast on the executions. Kindly tone it down by a few seconds slower as i had to keep pausing and rewinding the video. Otherwise I have really learnt, kuddos

  • @waleedahmed8740
    @waleedahmed8740 2 ปีที่แล้ว

    its lovely sir but if you are chewing a toffe while lectrure please dont do it its irrritating btw its very nice content thank you

  • @gideonobinomea6276
    @gideonobinomea6276 2 ปีที่แล้ว

    Sir you move too fast and the video is not too clear . I enjoyed it but it is hard following

  • @bezualemfisseha2119
    @bezualemfisseha2119 3 ปีที่แล้ว +1

    thank you