Histograms and Density Plots for Numeric Variables | Statistics Tutorial | MarinStatsLectures
HTML-код
- Опубликовано: 21 авг 2024
- Histograms and Density Plots to Summarize Numeric Variables; How and why we summarize numeric data sets (also known as qualitative or continuous variables) using frequency tables, histograms, and Kernel density plots. How to Create and Modify Histograms with R ( • Histograms in R | R Tu... )
👍🏼Best Statistics & R Programming Language Tutorials: ( goo.gl/4vDQzT )
►► Like to support us? You can Donate (bit.ly/2CWxnP2), Share our Videos, Leave us a Comment and Give us a Like! Either way, We Thank You!
This statistics video tutorial presents the idea of a histogram as well as a density plot.
A histogram is a common plot to see, which helps describe the distribution of a single numeric variable. A (Kernel) Density plot may be less commonly known by name, but is a useful companion to a histogram; you may have seen the density plot without knowing their name.
These plots are very useful in helping us to visualize and describe the distribution of a numeric (quantitative/continuous) variable. Here we will talk about what these plots display and why they are useful in statistics and in research.
►► Watch More:
► Statistics Course for Data Science bit.ly/2SQOxDH
►R Course for Beginners: bit.ly/1A1Pixc
►Getting Started with R using R Studio (Series 1): bit.ly/2PkTneg
►Graphs and Descriptive Statistics in R using R Studio (Series 2): bit.ly/2PkTneg
►Probability distributions in R using R Studio (Series 3): bit.ly/2AT3wpI
►Bivariate analysis in R using R Studio (Series 4): bit.ly/2SXvcRi
►Linear Regression in R using R Studio (Series 5): bit.ly/1iytAtm
►ANOVA Statistics and ANOVA with R using R Studio : bit.ly/2zBwjgL
►Hypothesis Testing Videos: bit.ly/2Ff3J9e
►Linear Regression Statistics and Linear Regression with R : bit.ly/2z8fXg1
Follow MarinStatsLectures
Subscribe: goo.gl/4vDQzT
website: statslectures.com
Facebook: goo.gl/qYQavS
Twitter: goo.gl/393AQG
Instagram: goo.gl/fdPiDn
Our Team:
Content Creator: Mike Marin (B.Sc., MSc.) Senior Instructor at UBC.
Producer and Creative Manager: Ladan Hamadani (B.Sc., BA., MPH)
These videos are created by #marinstatslectures to support some statistics courses at the University of British Columbia (UBC) (#IntroductoryStatistics and #RVideoTutorials ), although we make all videos available to the everyone everywhere for free.
Thanks for watching! Have fun and remember that statistics is almost as beautiful as a unicorn!
#statistics #rprogramming
In this statistics video tutorial we learn about the idea of a histogram as well as a density plot. A histogram is a common plot to see, which helps describe the distribution of a single numeric variable. A (Kernel) Density plot may be less commonly known by name, but is a useful companion to a histogram; you may have seen the density plot without knowing their name. These plots are very useful in helping us to visualize and describe the distribution of a numeric (quantitative/continuous) variable. Here we will talk about what these plots display and why they are useful in statistics and in research. Like to support us? You can Donate (bit.ly/2CWxnP2), Share our Videos, Leave us a Comment and Give us a Like! Either way, We Thank You!
By the way, I love your way of presentation on the board. Putting board in front of you makes me see every bit of information. Love everything about it.
DO NOT CHANGE A THING!!!
Thanks for your kind words!
Great videos for someone who wants to learn the basics...These are the best on RUclips, no videos were that much helpful.. Thank you!
great to hear, thanks!
Your videos are so easy to follow. With them broken down into small "bites" I can choose how much or how little time I can spend each day. I also find that watching at least one a day keeps things fresh for me. Thank you
I'm so grateful to have come across your videos.
You explain them so beautifully and easily. And I can't get past the fact that you are writing everything in reverse and soo perfectly. It's as good as learning from you directly.
I've never enjoyed studying so much before. Tried reading a book 📚 of statistics and it was okayish and confusing.. Your videos are done sooooo beautifully in every way. Verbal audio and visuals. I take screen shots in the end and it's as good have having notes for reference later. Thank you so much.
Love your work. Just amazing.
Before watching your videos I've faced difficulty in understanding some concepts. But after watching your videos ,those concepts became very easy. Thank you sir
DAMN !!!
This explanation is top of the world!!!
I love how you present this,, I mean we have all those techand software but this... This is the original and what I want to see, making me feels like I'm in a classroom
Under a density curve, the total area should be 1. So, in order to superimpose a density curve on a relative frequency histogram (such as one in this video), each bar of the relative frequency histogram should be further divided by the width of each bar, that is 10 in this video.
"I studied statistics, not art!" too good lmao
Dear mister, another fabulous show back to the basic. Enjoy it every minute! 👏👏👏
By the way, "You don't study art", typical excuse for not pursuing prefection... hahahahahaha🤣🤣🤣
thank Leo! I will work on my art skills for the next videos for sure 😂
Well presented - you are an artist! Thanks for the video
u r a super teacher
Thank you
Thank you sir@@@@
death to the guy who clicked the dislike button. keep up the great work!
Great presenting...thank u
I got it! Thank you.
My understanding has been that the bins should be 0-9, 10-19, 20-29 and so on. One should not have to choose which bin 10 year olds could be assigned as could happen in your example above.
for this type of graph, if you use relative frequencies, it would be much clearer to interpret and analysis what is going on in this data. Just a suggestion
Thank you Very much
You are very welcome Sachin!
Sir, please tell us which book we should follow to compliment this course.
sir kindly make videos on geometric, negative binomial dist. in R
You are right
These videos are not uploaded on RUclips
we may make these one day...at the moment we haven't for a few reasons...the first is that they are eww commonly used...also, we felt that once one can work with normal, poisson, binomial, etc, that other distributions are a bit repetitive.
but agree what it would be nice to have, and we may get to that one day, after we clear the queue of other videos on our list ;)
if you were making a frequency table for temperature would the bins still start from zero?
6:20
you should not use arrow in your frequency graph for limited data Mr.
thanks for the suggestion
You better use normal position,mirrored made me feel dizzy
Elifuraha, Sorry that the video didn't work for you! unfortunately, the "normal position" would make everything reversed which I assume would be difficult for a lot of people to follow. writing on the glass that is the only way to present the material!
6:40