Scatter Diagram (Scatter Plot): Detailed Illustration With Examples

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  • Опубликовано: 23 янв 2025

Комментарии • 151

  • @itsd9183
    @itsd9183 4 года назад +6

    Really very useful video for me...i was very confused between low and high positive and negative correlation ...but my doubt is cleared because of this video..thanks a lot😊😃😊😃🤗🤗

    • @learnandapply
      @learnandapply  4 года назад +2

      That's great!😊
      Thank you so much for your valuable comments and appreciation!

    • @FlexThoseMuscles
      @FlexThoseMuscles Год назад

      Totally agreed, everything on this channel is dope 🤩

    • @learnandapply
      @learnandapply  Год назад +1

      I am sorry, but what's the meaning of this?

    • @FlexThoseMuscles
      @FlexThoseMuscles Год назад +1

      ​@@learnandapply dope means it's sweet as candies (term used by younger people here in canada). I Luve it. I wanted to comment each video but am afraid it would be bothering. Thank you so much.

    • @learnandapply
      @learnandapply  Год назад +1

      Ohh, thank you so much for your valuable comments, kind words, and appreciation! 🙏☺️

  • @zvonimirtosic6171
    @zvonimirtosic6171 9 месяцев назад +3

    I'm flattered, because you have used in the video (at 3:00 min mark) the scatter diagram I have made for the performance analysis of several machines.

    • @learnandapply
      @learnandapply  9 месяцев назад +1

      Thank you for your valuable comments and appreciation! 🙏😊

  • @alihabib7712
    @alihabib7712 4 года назад +3

    Very much informative, I was learning a Data Science Topic... But couldn't get a better explanation anywhere ! Thanks for the illustrative example

    • @learnandapply
      @learnandapply  4 года назад

      Thank you so much for your valuable comments and appreciation!!

  • @waleedAlKashman
    @waleedAlKashman День назад +1

    thanks for your great efforts

    • @learnandapply
      @learnandapply  День назад

      You're welcome! 🤗
      Thank you so much for your valuable comments and appreciation! 🙏😊

  • @raghavendrahallur
    @raghavendrahallur 6 лет назад +4

    Thank you very much, you have done is really well and simplified.

    • @learnandapply
      @learnandapply  6 лет назад

      +Dr.Raghavendra Hallur
      Thank you very much for your valuable comments.

  • @FF_BMG
    @FF_BMG 3 года назад +1

    sir i was looking for plotting with pen and paper not excel, exceptthat everything was useful

    • @learnandapply
      @learnandapply  3 года назад +1

      Ohh, thank you so much for your valuable comments and appreciation!🙏😊

  • @saurabhwalzade9954
    @saurabhwalzade9954 5 лет назад +4

    Very awesome video dude I understand everything that I saw in video

    • @learnandapply
      @learnandapply  5 лет назад

      Thank you so much for your valuable comments..
      Please share it with your friends and colleagues..

  • @saipavankumarsai6185
    @saipavankumarsai6185 2 года назад +1

    Even though short video but clearly explained the topic awesome bro

    • @learnandapply
      @learnandapply  2 года назад

      Thank you so much for your valuable comments and appreciation ☺🙏

  • @lovelyxtyxty8261
    @lovelyxtyxty8261 4 года назад +2

    Thank you. Very comprehensible

    • @learnandapply
      @learnandapply  4 года назад

      Thank you so much for your valuable comments and appreciation!!

  • @joshuaabalos3660
    @joshuaabalos3660 4 года назад +5

    Thanks! It helped me a lot!

    • @learnandapply
      @learnandapply  4 года назад

      Thank you so much for your valuable comments and appreciation!

  • @AshwinChanil
    @AshwinChanil 4 года назад +2

    In depth knowledge, you have shared....

    • @learnandapply
      @learnandapply  4 года назад

      Thank you so much for your valuable comments and appreciation!

  • @mananitascallejeras
    @mananitascallejeras 6 лет назад +1

    This videos are perfect... quick and concrete. Greetings from Mx

    • @learnandapply
      @learnandapply  6 лет назад

      +Ahmed Karim
      Thank you for your valuable comments.

  • @christhurajarokia
    @christhurajarokia 3 года назад +1

    Superbly explained

    • @learnandapply
      @learnandapply  3 года назад

      Thank you so much for your valuable comments and appreciation ☺🙏

  • @entul.7045
    @entul.7045 3 года назад +2

    Terimakasih sangat membantu 👍

    • @learnandapply
      @learnandapply  3 года назад +1

      Thank you so much for your valuable comments and appreciation 🙏☺

  • @radhikabala9493
    @radhikabala9493 2 года назад +1

    M a researcher but finding your video as interesting and useful

    • @learnandapply
      @learnandapply  2 года назад

      That's great! Thank you for your valuable response and appreciation 🙏🙏😊

  • @syedsubhani007
    @syedsubhani007 4 года назад +2

    Excellent boss... Heartfelt thanks

    • @learnandapply
      @learnandapply  4 года назад

      Thank you so much for your valuable comments sir

  • @VijayPawar-sz6gq
    @VijayPawar-sz6gq 3 года назад +1

    Thanks 👍

  • @vaidiksirsate6776
    @vaidiksirsate6776 2 года назад +1

    Very Nice explanation

    • @learnandapply
      @learnandapply  2 года назад

      Thank you so much for your valuable comments and appreciation 🙏☺

  • @russel2506
    @russel2506 10 месяцев назад +1

    very informative even the thumbnail is usefull

    • @learnandapply
      @learnandapply  10 месяцев назад

      Thank you for your valuable comments and appreciation! 🙏😊

  • @sheryll9966
    @sheryll9966 5 лет назад +2

    Your videos are awesome! Thanks! :)

    • @learnandapply
      @learnandapply  5 лет назад +1

      Thank you so much again for your valuable comments. Such a beautiful comments encourages me to serve you in a more and more better way..😊

    • @sheryll9966
      @sheryll9966 5 лет назад

      Cool :)

  • @jonykhan4395
    @jonykhan4395 Год назад +1

    Good work. As you mentioned each dependent variable have multiple values but in your dataset only unique values are present. Does the scatter diagram plot the mathematical relation or it plots the function of x and y as in function there is only unique image for x?

    • @learnandapply
      @learnandapply  Год назад

      Thank you for your valuable comments and appreciation! 🙏😊
      Scatter Diagram is used to see the graphical relationship between variables.
      For one setting, you can have one value or multiple values.

  • @aravindkb3205
    @aravindkb3205 2 года назад +1

    Good explanation

    • @learnandapply
      @learnandapply  2 года назад

      Thank you for your valuable comments and appreciation ☺🙏

  • @sureshyadav1799
    @sureshyadav1799 2 года назад +1

    really usefull

    • @learnandapply
      @learnandapply  2 года назад

      Thank you so much for your valuable comments and appreciation ☺️🙏

  • @sauvagesauvage1869
    @sauvagesauvage1869 3 года назад +1

    thank you

    • @learnandapply
      @learnandapply  3 года назад +1

      Thank you so much for your valuable comments and appreciation!

  • @34rahulsingh
    @34rahulsingh Год назад +1

    Can anyone help..which graph will have r=0...a curved one or the Partial one at 6:06

    • @learnandapply
      @learnandapply  Год назад +1

      You won't get r=0 practically.
      The lesser the value of r (let's say 0.1), the larger the points' scatter will be. In the diagram, you can say it is represented by "None" (No correlation between variables).

    • @34rahulsingh
      @34rahulsingh Год назад +1

      @learnandapply Thanks for reply Sir and i do understand this for the graphs showing "Degrees of Correlation" but confusion is with "Type of correlation" graphs having Curved and Partial Graphs..just wanted to know out of both which will have r=0 in between curved snd Partial graphs since in Positive graph r= +1 and in Negative graph it will be -1 but what it will be in curved and Partial graph?

    • @learnandapply
      @learnandapply  Год назад

      That will come to any value in-between. This depends on the data considered for analysis. You can predict a partial correlation from the graph (visuals), not from the value.
      The Graphical representation is critical in both Partial and Curved Correlation.

  • @AnkushSharma-zv5hv
    @AnkushSharma-zv5hv 4 года назад +2

    thanks

    • @learnandapply
      @learnandapply  4 года назад

      Thank you so much for your valuable comments

  • @MaC-jn5by
    @MaC-jn5by 5 лет назад +2

    thank you!

    • @learnandapply
      @learnandapply  5 лет назад

      Thank you for your valuable comments...

  • @mukkadalabalatata9541
    @mukkadalabalatata9541 6 лет назад

    Clear and simple sir

    • @learnandapply
      @learnandapply  6 лет назад

      +MUKKADALA BALATATA
      Thank you for your valuable comments

  • @ardrab7801
    @ardrab7801 4 года назад +2

    Video is informative..sir can u expalin How to create scatter diagram in r programming

    • @learnandapply
      @learnandapply  4 года назад

      Thank you for your valuable comments and appreciation, but I don't know about r programming.

  • @budhihartono4522
    @budhihartono4522 3 года назад +2

    Thank Yau.

    • @learnandapply
      @learnandapply  3 года назад

      You're welcome and thank you so much for your valuable comments ☺🙏

  • @mukkadalabalatata9541
    @mukkadalabalatata9541 7 лет назад +1

    Thank you sir helpful for ese

    • @learnandapply
      @learnandapply  7 лет назад

      +MUKKADALA BALATATA
      Thank you for your valuable comments.
      Please share these videos in your entire group.

  • @charly_xpr
    @charly_xpr Год назад +1

    very good

    • @learnandapply
      @learnandapply  Год назад +1

      Thank you for your valuable comments and appreciation! 🙏☺️

  • @supunmalinthasandanayaka885
    @supunmalinthasandanayaka885 4 года назад +1

    Worthy video

    • @learnandapply
      @learnandapply  4 года назад +1

      Thank you so much for your valuable comments..

  • @TheSonipedia
    @TheSonipedia 3 года назад +1

    Nice info

    • @learnandapply
      @learnandapply  3 года назад

      Thank you so much for your valuable comments and appreciation ☺🙏

  • @polarbear1987able
    @polarbear1987able 6 лет назад +1

    very useful thanks for sharing :)

  • @satyasnigdhatripathy2018
    @satyasnigdhatripathy2018 6 лет назад

    Really useful👌👌

  • @KrishnaGupta-rd3oi
    @KrishnaGupta-rd3oi 3 года назад +1

    Grea learning

    • @learnandapply
      @learnandapply  3 года назад

      Thank you so much for your valuable comments and appreciation ☺🙏

  • @Stioazisarifin
    @Stioazisarifin 3 года назад +1

    Terima kasih

    • @learnandapply
      @learnandapply  3 года назад

      Thank you for your valuable comments 🙏☺

  • @thelokal3657
    @thelokal3657 3 года назад +1

    thanks broo

    • @learnandapply
      @learnandapply  3 года назад

      You're welcome and thank you so much for your valuable comments ☺🙏

  • @ujjwalkoli4002
    @ujjwalkoli4002 4 года назад +2

    Any Defination For Dependent & independent Variable??

    • @learnandapply
      @learnandapply  4 года назад +2

      If an observation provides no information about the value of another observation, the observations are independent and if an observation provides information about another observation, the observations are dependent.

  • @dome6356
    @dome6356 5 лет назад +4

    Yas i understunded avarytheng en dez vedio

    • @learnandapply
      @learnandapply  5 лет назад

      Thank you for your valuable comments..
      Please share it with your friends and colleagues..

  • @RaptorBot
    @RaptorBot 3 года назад +1

    useful

    • @learnandapply
      @learnandapply  3 года назад

      Thank you so much for your valuable comments and appreciation ☺🙏

  • @vaibhavbarge9543
    @vaibhavbarge9543 7 лет назад +2

    Nice sir

  • @mn-ru4li
    @mn-ru4li 4 года назад +1

    Hi there. I'd like to build a graph that combines two different data sets. Data set one shows data over time, e.g. a percentage of users over week 1, week 2, week 3...etc, but data set two, which I got from a survey, shows how much a customer interacts with something over time, like 20% say daily, 25% say weekly, 30% say monthly and 25% say yearly. Is it even possible to combine both data sets into one graph? If so, are you able to point me in the right direction?

    • @learnandapply
      @learnandapply  4 года назад

      Yes, it's possible.
      Are you using a Excel or Minitab?

    • @mn-ru4li
      @mn-ru4li 4 года назад

      @@learnandapply thank you for replying. 😀 I'm using excel.

    • @learnandapply
      @learnandapply  4 года назад

      Just click on one of the chart line and add it to secondary axis.

    • @mn-ru4li
      @mn-ru4li 4 года назад +1

      @@learnandapply thank you for replying 😀

  • @Watertreatment
    @Watertreatment 6 лет назад

    Very useful

    • @learnandapply
      @learnandapply  6 лет назад

      Thank you for your valuable comments...

  • @muthumagesh707
    @muthumagesh707 6 лет назад

    in these four types of correlation which one will be satisfies the process

    • @learnandapply
      @learnandapply  6 лет назад

      Thank you for your valuable comments.
      Well, it depends on what is your goal for data collection.

  • @krystianleano3149
    @krystianleano3149 6 лет назад

    Thank you for this video. May I ask for more explanation on the scatter diagram considerations? Specially on the first part. Thank you!

    • @learnandapply
      @learnandapply  6 лет назад

      Thank you very much for your valuable comments

    • @learnandapply
      @learnandapply  6 лет назад

      The 1st consideration of the scatter diagram explained the importance of technical or logical knowledge regarding the field in which you are using scatter diagram analysis.
      That means you must know the some basic part of the area (i.e. factors and their expected behavior) before using scatter plot analysis. If you don't have that, you can take a help of expert in that particular area.
      Please let me know if I had answered your question. Thank you for this very important query.

    • @krystianleano3149
      @krystianleano3149 6 лет назад +1

      It did! Thank you so much!

  • @sunilkushwaha4218
    @sunilkushwaha4218 5 лет назад +1

    Thank Bhai

    • @learnandapply
      @learnandapply  5 лет назад

      Thank you for your valuable comments..

  • @tanujdiwate2514
    @tanujdiwate2514 5 лет назад

    Hi ... where can I find the corelation of 3 case of scatter of diagram

    • @tanujdiwate2514
      @tanujdiwate2514 5 лет назад +1

      Which you said ...you will explain in detail in next video

    • @learnandapply
      @learnandapply  5 лет назад

      Thank you for your valuable comments.
      See the video on "correlation and regression."

    • @tanujdiwate2514
      @tanujdiwate2514 5 лет назад +1

      @@learnandapply thanks

  • @NikhilSingh-zg4vh
    @NikhilSingh-zg4vh 2 года назад +3

    The most irritating thing is it's background music 😡, but the content is very good

    • @learnandapply
      @learnandapply  2 года назад

      Yes, you are right. This is a very old video when I was just started. Thank you for your valuable comments and sorry for the inconvenience caused to you. 🙏😊

  • @soumya08in
    @soumya08in 4 года назад +2

    Good explanation.. But personally somehow the Background music is distracting..for me

  • @pratapsagar
    @pratapsagar 6 лет назад

    pls mention about spearman vs pearson

  • @SandeepKumar-mr4ih
    @SandeepKumar-mr4ih 6 лет назад

    nice bro

    • @learnandapply
      @learnandapply  6 лет назад

      +Sandeep Kumar
      Thank you for your valuable comments Sandeep

  • @rajstudio777
    @rajstudio777 4 месяца назад +1

    How to create diagrams

    • @learnandapply
      @learnandapply  4 месяца назад

      It's already mentioned in the video. If you want to learn it in more detail, please see this video: ruclips.net/video/uE85cTX8NGg/видео.html

  • @hugosugano7783
    @hugosugano7783 2 года назад +1

    good video, very helpful but the pronounciation what hard to understand

    • @learnandapply
      @learnandapply  2 года назад

      Thank you so much for your valuable comments and appreciation 🙏☺
      For pronunciation, you can use subtitles.

  • @Eaxillier
    @Eaxillier 2 года назад +1

    wow

    • @learnandapply
      @learnandapply  2 года назад

      Thank you so much for your valuable comments and appreciation 🙏☺

  • @chathunigurusinghe7119
    @chathunigurusinghe7119 2 года назад +1

    👍

    • @learnandapply
      @learnandapply  2 года назад

      Thank you for your valuable comments and appreciation 🙏☺

  • @vespapx150vel9
    @vespapx150vel9 3 года назад +1

    Ok

  • @rudydoremi4078
    @rudydoremi4078 3 года назад +1

    Translate to indonesia please

    • @learnandapply
      @learnandapply  3 года назад

      Hi Rudy, You can use Indonesian subtitles. 😊

  • @aviatrix2
    @aviatrix2 4 года назад

    Hindi accent was so heavy, I couldn't understand half of what he was saying.

    • @learnandapply
      @learnandapply  4 года назад

      Where had you seen the Hindi accent?

  • @henrymcvey6538
    @henrymcvey6538 3 года назад

    Delivered far too quickly and explained little.

    • @learnandapply
      @learnandapply  3 года назад

      You can see the detailed session on Correlation and Regression to understand it slowly and in more detailed.

  • @RAJCHAUHAN-xb8yn
    @RAJCHAUHAN-xb8yn 7 лет назад

    BHAI thoda Hindi bol Le....

    • @learnandapply
      @learnandapply  7 лет назад

      +Raj Chauhan
      Thank you Raj.
      Soch raha hoon hindi me bhi video karne ka.
      Aap ki comment ke liye bahoot shukriya.

    • @RAJCHAUHAN-xb8yn
      @RAJCHAUHAN-xb8yn 7 лет назад

      Haa BHAI Karo to jo weak student hai unhe JYADA SUPPORT MILEGA...

    • @learnandapply
      @learnandapply  7 лет назад

      +Raj Chauhan
      Thank you so much for your valuable comments.
      Lekin thoda time lagega.

    • @RAJCHAUHAN-xb8yn
      @RAJCHAUHAN-xb8yn 7 лет назад

      No problem BUT TRY.....

  • @songye4134
    @songye4134 4 года назад

    oh my ,This accent

  • @bilalmuhammad5112
    @bilalmuhammad5112 6 лет назад

    You accent makes me laugh 😂😂😂

    • @learnandapply
      @learnandapply  6 лет назад +1

      Thank you for your valuable comments 😊😊

  • @riskifauzi2203
    @riskifauzi2203 3 года назад +1

    Thank you

    • @learnandapply
      @learnandapply  3 года назад

      You're welcome and thank you so much for your valuable comments ☺🙏

  • @safasania3269
    @safasania3269 3 года назад +1

    Thankyu sir

    • @learnandapply
      @learnandapply  3 года назад

      You're welcome and thank you so much for your valuable comments ☺🙏

  • @mathmo2697
    @mathmo2697 3 года назад +1

    Thanks

    • @learnandapply
      @learnandapply  3 года назад

      Thank you so much for your valuable comments and appreciation ☺🙏

  • @putrawijaya1292
    @putrawijaya1292 3 года назад +1

    Thank you

    • @learnandapply
      @learnandapply  3 года назад

      You are welcome and thank you for your valuable comments ☺🙏

  • @cococnk388
    @cococnk388 2 года назад +1

    Thanks

    • @learnandapply
      @learnandapply  2 года назад

      You're welcome and thank you so much for your valuable comments 🙏☺

  • @marisnaelisabet7082
    @marisnaelisabet7082 3 года назад +1

    Thanks you

    • @learnandapply
      @learnandapply  3 года назад

      You are welcome and thank you for your valuable comments 🙏☺