Scatter Diagram (Scatter Plot): Detailed Illustration With Examples

[@itsd9183]

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]

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

[@FlexThoseMuscles]

Totally agreed, everything on this channel is dope 🤩

[@learnandapply]

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

[@FlexThoseMuscles]

​@@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]

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

[@zvonimirtosic6171]

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]

Thank you for your valuable comments and appreciation! 🙏😊

[@alihabib7712]

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

[@learnandapply]

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

[@FF_BMG]

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

[@learnandapply]

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

[@raghavendrahallur]

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

[@learnandapply]

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

[@radhikabala9493]

M a researcher but finding your video as interesting and useful

[@learnandapply]

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

[@saurabhwalzade9954]

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

[@learnandapply]

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

[@saipavankumarsai6185]

Even though short video but clearly explained the topic awesome bro

[@learnandapply]

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

[@entul.7045]

Terimakasih sangat membantu 👍

[@learnandapply]

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

[@christhurajarokia]

Superbly explained

[@learnandapply]

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

[@lovelyxtyxty8261]

Thank you. Very comprehensible

[@learnandapply]

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

[@joshuaabalos3660]

Thanks! It helped me a lot!

[@learnandapply]

Thank you so much for your valuable comments and appreciation!

[@vaidiksirsate6776]

Very Nice explanation

[@learnandapply]

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

[@AshwinChanil]

In depth knowledge, you have shared....

[@learnandapply]

Thank you so much for your valuable comments and appreciation!

[@syedsubhani007]

Excellent boss... Heartfelt thanks

[@learnandapply]

Thank you so much for your valuable comments sir

[@russel2506]

very informative even the thumbnail is usefull

[@learnandapply]

Thank you for your valuable comments and appreciation! 🙏😊

[@VijayPawar-sz6gq]

Thanks 👍

[@mananitascallejeras]

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

[@learnandapply]

+Ahmed Karim Thank you for your valuable comments.

[@aravindkb3205]

Good explanation

[@learnandapply]

Thank you for your valuable comments and appreciation ☺🙏

[@NikhilSingh-zg4vh]

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

[@learnandapply]

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. 🙏😊

[@sheryll9966]

Your videos are awesome! Thanks! :)

[@learnandapply]

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]

Cool :)

[@sureshyadav1799]

really usefull

[@learnandapply]

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

[@ardrab7801]

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

[@learnandapply]

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

[@jonykhan4395]

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]

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.

[@sauvagesauvage1869]

thank you

[@learnandapply]

Thank you so much for your valuable comments and appreciation!

[@KrishnaGupta-rd3oi]

Grea learning

[@learnandapply]

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

[@charly_xpr]

very good

[@learnandapply]

Thank you for your valuable comments and appreciation! 🙏☺️

[@TheSonipedia]

Nice info

[@learnandapply]

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

[@Stioazisarifin]

Terima kasih

[@learnandapply]

Thank you for your valuable comments 🙏☺

[@budhihartono4522]

Thank Yau.

[@learnandapply]

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

[@AnkushSharma-zv5hv]

thanks

[@learnandapply]

Thank you so much for your valuable comments

[@mukkadalabalatata9541]

Clear and simple sir

[@learnandapply]

+MUKKADALA BALATATA Thank you for your valuable comments

[@mukkadalabalatata9541]

Thank you sir helpful for ese

[@learnandapply]

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

[@thelokal3657]

thanks broo

[@learnandapply]

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

[@supunmalinthasandanayaka885]

Worthy video

[@learnandapply]

Thank you so much for your valuable comments..

[@MaC-jn5by]

thank you!

[@learnandapply]

Thank you for your valuable comments...

[@dome6356]

Yas i understunded avarytheng en dez vedio

[@learnandapply]

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

[@polarbear1987able]

very useful thanks for sharing :)

[@learnandapply]

Thank you for your valuable comments

[@vaibhavbarge9543]

Nice sir

[@satyasnigdhatripathy2018]

Really useful👌👌

[@learnandapply]

Thank you for your valuable comments

[@RaptorBot]

useful

[@learnandapply]

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

[@sunilkushwaha4218]

Thank Bhai

[@learnandapply]

Thank you for your valuable comments..

[@ujjwalkoli4002]

Any Defination For Dependent & independent Variable??

[@learnandapply]

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.

[@krystianleano3149]

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

[@learnandapply]

Thank you very much for your valuable comments

[@learnandapply]

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]

It did! Thank you so much!

[@muthumagesh707]

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

[@learnandapply]

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

[@Watertreatment]

Very useful

[@learnandapply]

Thank you for your valuable comments...

[@pratapsagar]

pls mention about spearman vs pearson

[@mn-ru4li]

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]

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

[@mn-ru4li]

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

[@learnandapply]

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

[@mn-ru4li]

@@learnandapply thank you for replying 😀

[@34rahulsingh]

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

[@learnandapply]

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]

@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]

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.

[@SandeepKumar-mr4ih]

nice bro

[@learnandapply]

+Sandeep Kumar Thank you for your valuable comments Sandeep

[@chathunigurusinghe7119]

👍

[@learnandapply]

Thank you for your valuable comments and appreciation 🙏☺

[@soumya08in]

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

[@Eaxillier]

wow

[@learnandapply]

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

[@hugosugano7783]

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

[@learnandapply]

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

[@tanujdiwate2514]

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

[@tanujdiwate2514]

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

[@learnandapply]

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

[@tanujdiwate2514]

@@learnandapply thanks

[@rajstudio777]

How to create diagrams

[@learnandapply]

It's already mentioned in the video. If you want to learn it in more detail, please see this video: kzbin.info/www/bejne/q3abZpaKjZ2Bfck

[@vespapx150vel9]

Ok

[@rudydoremi4078]

Translate to indonesia please

[@learnandapply]

Hi Rudy, You can use Indonesian subtitles. 😊

[@aviatrix2]

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

[@learnandapply]

Where had you seen the Hindi accent?

[@henrymcvey6538]

Delivered far too quickly and explained little.

[@learnandapply]

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

[@songye4134]

oh my ,This accent

[@bilalmuhammad5112]

You accent makes me laugh 😂😂😂

[@learnandapply]

Thank you for your valuable comments 😊😊

[@RAJCHAUHAN-xb8yn]

BHAI thoda Hindi bol Le....

[@learnandapply]

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

[@RAJCHAUHAN-xb8yn]

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

[@learnandapply]

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

[@RAJCHAUHAN-xb8yn]

No problem BUT TRY.....

[@safasania3269]

Thankyu sir

[@learnandapply]

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

[@riskifauzi2203]

Thank you

[@learnandapply]

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

[@ajaysinghrawat8042]

Thanks

[@learnandapply]

Thank you so much for your valuable comments!

[@putrawijaya1292]

Thank you

[@learnandapply]

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

[@mathmo2697]

Thanks

[@learnandapply]

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

[@marisnaelisabet7082]

Thanks you

[@learnandapply]

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

[@cococnk388]

Thanks

[@learnandapply]

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