Scatter Diagram (Scatter Plot): Detailed Illustration With Examples

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  • Опубліковано 16 гру 2024

КОМЕНТАРІ • 149

  • @itsd9183
    @itsd9183 4 роки тому +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 роки тому +2

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

    • @FlexThoseMuscles
      @FlexThoseMuscles Рік тому

      Totally agreed, everything on this channel is dope 🤩

    • @learnandapply
      @learnandapply  Рік тому +1

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

    • @FlexThoseMuscles
      @FlexThoseMuscles Рік тому +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  Рік тому +1

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

  • @zvonimirtosic6171
    @zvonimirtosic6171 8 місяців тому +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  8 місяців тому +1

      Thank you for your valuable comments and appreciation! 🙏😊

  • @alihabib7712
    @alihabib7712 4 роки тому +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 роки тому

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

  • @saurabhwalzade9954
    @saurabhwalzade9954 5 років тому +4

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

    • @learnandapply
      @learnandapply  5 років тому

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

  • @FF_BMG
    @FF_BMG 3 роки тому +1

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

    • @learnandapply
      @learnandapply  3 роки тому +1

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

  • @saipavankumarsai6185
    @saipavankumarsai6185 2 роки тому +1

    Even though short video but clearly explained the topic awesome bro

    • @learnandapply
      @learnandapply  2 роки тому

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

  • @raghavendrahallur
    @raghavendrahallur 6 років тому +4

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

    • @learnandapply
      @learnandapply  6 років тому

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

  • @jonykhan4395
    @jonykhan4395 Рік тому +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  Рік тому

      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.

  • @34rahulsingh
    @34rahulsingh Рік тому +1

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

    • @learnandapply
      @learnandapply  Рік тому +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 Рік тому +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  Рік тому

      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.

  • @radhikabala9493
    @radhikabala9493 2 роки тому +1

    M a researcher but finding your video as interesting and useful

    • @learnandapply
      @learnandapply  2 роки тому

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

  • @joshuaabalos3660
    @joshuaabalos3660 4 роки тому +5

    Thanks! It helped me a lot!

    • @learnandapply
      @learnandapply  4 роки тому

      Thank you so much for your valuable comments and appreciation!

  • @russel2506
    @russel2506 9 місяців тому +1

    very informative even the thumbnail is usefull

    • @learnandapply
      @learnandapply  9 місяців тому

      Thank you for your valuable comments and appreciation! 🙏😊

  • @christhurajarokia
    @christhurajarokia 3 роки тому +1

    Superbly explained

    • @learnandapply
      @learnandapply  3 роки тому

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

  • @syedsubhani007
    @syedsubhani007 4 роки тому +2

    Excellent boss... Heartfelt thanks

    • @learnandapply
      @learnandapply  4 роки тому

      Thank you so much for your valuable comments sir

  • @ardrab7801
    @ardrab7801 4 роки тому +2

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

    • @learnandapply
      @learnandapply  4 роки тому

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

  • @NikhilSingh-zg4vh
    @NikhilSingh-zg4vh 2 роки тому +3

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

    • @learnandapply
      @learnandapply  2 роки тому

      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. 🙏😊

  • @lovelyxtyxty8261
    @lovelyxtyxty8261 4 роки тому +2

    Thank you. Very comprehensible

    • @learnandapply
      @learnandapply  4 роки тому

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

  • @AshwinChanil
    @AshwinChanil 3 роки тому +2

    In depth knowledge, you have shared....

    • @learnandapply
      @learnandapply  3 роки тому

      Thank you so much for your valuable comments and appreciation!

  • @vaidiksirsate6776
    @vaidiksirsate6776 2 роки тому +1

    Very Nice explanation

    • @learnandapply
      @learnandapply  2 роки тому

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

  • @entul.7045
    @entul.7045 3 роки тому +2

    Terimakasih sangat membantu 👍

    • @learnandapply
      @learnandapply  3 роки тому +1

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

  • @mananitascallejeras
    @mananitascallejeras 6 років тому +1

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

    • @learnandapply
      @learnandapply  6 років тому

      +Ahmed Karim
      Thank you for your valuable comments.

  • @sheryll9966
    @sheryll9966 5 років тому +2

    Your videos are awesome! Thanks! :)

    • @learnandapply
      @learnandapply  5 років тому +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 років тому

      Cool :)

  • @aravindkb3205
    @aravindkb3205 2 роки тому +1

    Good explanation

    • @learnandapply
      @learnandapply  2 роки тому

      Thank you for your valuable comments and appreciation ☺🙏

  • @VijayPawar-sz6gq
    @VijayPawar-sz6gq 2 роки тому +1

    Thanks 👍

  • @mn-ru4li
    @mn-ru4li 4 роки тому +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 роки тому

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

    • @mn-ru4li
      @mn-ru4li 4 роки тому

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

    • @learnandapply
      @learnandapply  4 роки тому

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

    • @mn-ru4li
      @mn-ru4li 4 роки тому +1

      @@learnandapply thank you for replying 😀

  • @sureshyadav1799
    @sureshyadav1799 2 роки тому +1

    really usefull

    • @learnandapply
      @learnandapply  2 роки тому

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

  • @charly_xpr
    @charly_xpr Рік тому +1

    very good

    • @learnandapply
      @learnandapply  Рік тому +1

      Thank you for your valuable comments and appreciation! 🙏☺️

  • @TheSonipedia
    @TheSonipedia 3 роки тому +1

    Nice info

    • @learnandapply
      @learnandapply  3 роки тому

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

  • @KrishnaGupta-rd3oi
    @KrishnaGupta-rd3oi 3 роки тому +1

    Grea learning

    • @learnandapply
      @learnandapply  3 роки тому

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

  • @ujjwalkoli4002
    @ujjwalkoli4002 4 роки тому +2

    Any Defination For Dependent & independent Variable??

    • @learnandapply
      @learnandapply  4 роки тому +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.

  • @mukkadalabalatata9541
    @mukkadalabalatata9541 6 років тому

    Clear and simple sir

    • @learnandapply
      @learnandapply  6 років тому

      +MUKKADALA BALATATA
      Thank you for your valuable comments

  • @sauvagesauvage1869
    @sauvagesauvage1869 3 роки тому +1

    thank you

    • @learnandapply
      @learnandapply  3 роки тому +1

      Thank you so much for your valuable comments and appreciation!

  • @supunmalinthasandanayaka885
    @supunmalinthasandanayaka885 4 роки тому +1

    Worthy video

    • @learnandapply
      @learnandapply  4 роки тому +1

      Thank you so much for your valuable comments..

  • @dome6356
    @dome6356 5 років тому +4

    Yas i understunded avarytheng en dez vedio

    • @learnandapply
      @learnandapply  5 років тому

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

  • @mukkadalabalatata9541
    @mukkadalabalatata9541 6 років тому +1

    Thank you sir helpful for ese

    • @learnandapply
      @learnandapply  6 років тому

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

  • @polarbear1987able
    @polarbear1987able 6 років тому +1

    very useful thanks for sharing :)

    • @learnandapply
      @learnandapply  6 років тому

      Thank you for your valuable comments

  • @Stioazisarifin
    @Stioazisarifin 3 роки тому +1

    Terima kasih

    • @learnandapply
      @learnandapply  3 роки тому

      Thank you for your valuable comments 🙏☺

  • @AnkushSharma-zv5hv
    @AnkushSharma-zv5hv 4 роки тому +2

    thanks

    • @learnandapply
      @learnandapply  4 роки тому

      Thank you so much for your valuable comments

  • @krystianleano3149
    @krystianleano3149 6 років тому

    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 років тому

      Thank you very much for your valuable comments

    • @learnandapply
      @learnandapply  6 років тому

      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 років тому +1

      It did! Thank you so much!

  • @budhihartono4522
    @budhihartono4522 3 роки тому +2

    Thank Yau.

    • @learnandapply
      @learnandapply  3 роки тому

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

  • @satyasnigdhatripathy2018
    @satyasnigdhatripathy2018 6 років тому

    Really useful👌👌

    • @learnandapply
      @learnandapply  6 років тому

      Thank you for your valuable comments

  • @thelokal3657
    @thelokal3657 3 роки тому +1

    thanks broo

    • @learnandapply
      @learnandapply  3 роки тому

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

  • @MaC-jn5by
    @MaC-jn5by 5 років тому +2

    thank you!

    • @learnandapply
      @learnandapply  5 років тому

      Thank you for your valuable comments...

  • @muthumagesh707
    @muthumagesh707 5 років тому

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

    • @learnandapply
      @learnandapply  5 років тому

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

  • @tanujdiwate2514
    @tanujdiwate2514 5 років тому

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

    • @tanujdiwate2514
      @tanujdiwate2514 5 років тому +1

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

    • @learnandapply
      @learnandapply  5 років тому

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

    • @tanujdiwate2514
      @tanujdiwate2514 5 років тому +1

      @@learnandapply thanks

  • @vaibhavbarge9543
    @vaibhavbarge9543 7 років тому +2

    Nice sir

  • @RaptorBot
    @RaptorBot 3 роки тому +1

    useful

    • @learnandapply
      @learnandapply  3 роки тому

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

  • @sunilkushwaha4218
    @sunilkushwaha4218 4 роки тому +1

    Thank Bhai

    • @learnandapply
      @learnandapply  4 роки тому

      Thank you for your valuable comments..

  • @rajstudio777
    @rajstudio777 3 місяці тому +1

    How to create diagrams

    • @learnandapply
      @learnandapply  3 місяці тому

      It's already mentioned in the video. If you want to learn it in more detail, please see this video: ua-cam.com/video/uE85cTX8NGg/v-deo.html

  • @Watertreatment
    @Watertreatment 5 років тому

    Very useful

    • @learnandapply
      @learnandapply  5 років тому

      Thank you for your valuable comments...

  • @soumya08in
    @soumya08in 4 роки тому +2

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

  • @hugosugano7783
    @hugosugano7783 2 роки тому +1

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

    • @learnandapply
      @learnandapply  2 роки тому

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

  • @pratapsagar
    @pratapsagar 5 років тому

    pls mention about spearman vs pearson

  • @SandeepKumar-mr4ih
    @SandeepKumar-mr4ih 6 років тому

    nice bro

    • @learnandapply
      @learnandapply  6 років тому

      +Sandeep Kumar
      Thank you for your valuable comments Sandeep

  • @Eaxillier
    @Eaxillier 2 роки тому +1

    wow

    • @learnandapply
      @learnandapply  2 роки тому

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

  • @chathunigurusinghe7119
    @chathunigurusinghe7119 2 роки тому +1

    👍

    • @learnandapply
      @learnandapply  2 роки тому

      Thank you for your valuable comments and appreciation 🙏☺

  • @vespapx150vel9
    @vespapx150vel9 3 роки тому +1

    Ok

  • @rudydoremi4078
    @rudydoremi4078 3 роки тому +1

    Translate to indonesia please

    • @learnandapply
      @learnandapply  3 роки тому

      Hi Rudy, You can use Indonesian subtitles. 😊

  • @henrymcvey6538
    @henrymcvey6538 3 роки тому

    Delivered far too quickly and explained little.

    • @learnandapply
      @learnandapply  3 роки тому

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

  • @aviatrix2
    @aviatrix2 4 роки тому

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

  • @RAJCHAUHAN-xb8yn
    @RAJCHAUHAN-xb8yn 6 років тому

    BHAI thoda Hindi bol Le....

    • @learnandapply
      @learnandapply  6 років тому

      +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 6 років тому

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

    • @learnandapply
      @learnandapply  6 років тому

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

    • @RAJCHAUHAN-xb8yn
      @RAJCHAUHAN-xb8yn 6 років тому

      No problem BUT TRY.....

  • @songye4134
    @songye4134 4 роки тому

    oh my ,This accent

  • @bilalmuhammad5112
    @bilalmuhammad5112 6 років тому

    You accent makes me laugh 😂😂😂

    • @learnandapply
      @learnandapply  6 років тому +1

      Thank you for your valuable comments 😊😊

  • @riskifauzi2203
    @riskifauzi2203 3 роки тому +1

    Thank you

    • @learnandapply
      @learnandapply  3 роки тому

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

  • @safasania3269
    @safasania3269 3 роки тому +1

    Thankyu sir

    • @learnandapply
      @learnandapply  3 роки тому

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

  • @mathmo2697
    @mathmo2697 3 роки тому +1

    Thanks

    • @learnandapply
      @learnandapply  3 роки тому

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

  • @putrawijaya1292
    @putrawijaya1292 3 роки тому +1

    Thank you

    • @learnandapply
      @learnandapply  3 роки тому

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

  • @cococnk388
    @cococnk388 2 роки тому +1

    Thanks

    • @learnandapply
      @learnandapply  2 роки тому

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

  • @marisnaelisabet7082
    @marisnaelisabet7082 3 роки тому +1

    Thanks you

    • @learnandapply
      @learnandapply  3 роки тому

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