👋🏼 In this statistics video lecture, we learn how to summarize a categorical variable. We discuss frequency tables, a proportion, a percentage, bar charts, and pie charts. These are likely not completely new ideas to you, but this video will help to put all these ideas together in the context of summarizing a single categorical variable. If you 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!
You are literally saving my life in Statistics right now! I’ve watched at least 30 videos so far! Thank you. You explain in such an easy way for me to understand!
"you'll probably never have to do this by hand" Sir, I have only had to do them by hand. Thank you so much for saving my life by going through the steps anyway.
I was totally blank about this whole thing as a beginner in statistics,but your explanatory has definitely cleared the doubts on my mind,I was on the verge of giving up. You are just gave me something to go about thanks alot,I am looking forward learning a lot from you.
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
Great demonstration sir👏👌. I am little slow learner and this example made me to understand very clear. And all of your videos. Could you please post video on prediction using R Studio. And could you please demonstrate above charts in R Studio. I love data science and Visualization. But tutor like you can make me learn in easy way. Thant you very much for your efforts 👍🙏
it will provide a good start, but being honest, there is no complete list of everything to know for data science. anyone who claims that a particular playlist, or course, etc, is "everything you need to know for data science" is lying. there are a million things you could know, and the tools to know are expanding every day. these videos give a solid foundation in the principles of statistics, and are better than most of what you will find anywhere, but they are not a complete list of everything to know
Well, actually he wrote normally and then flipped the video using some software. He told this in a comment in one of the previous lectures. But the work required to do all that is no less impressive. I really appreciate his efforts in teaching us an expensive course for free. Isn't he truly amazing ♥️.
👋🏼 In this statistics video lecture, we learn how to summarize a categorical variable. We discuss frequency tables, a proportion, a percentage, bar charts, and pie charts. These are likely not completely new ideas to you, but this video will help to put all these ideas together in the context of summarizing a single categorical variable. If you 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!
I usually close down a UA-cam video when extro is being played, but in your videos I stay to the end because I just love your son's cute voice.
You are literally saving my life in Statistics right now! I’ve watched at least 30 videos so far! Thank you. You explain in such an easy way for me to understand!
Others: This video is so helpful, it saved me life!!
Me: Is he writing everything BACKWARDS??
There is a treasure on UA-cam and it is your Chanel!
Greetings from México
Thanks, we appreciate that!
Time stamps
0:52 #1 Frequency Table
3:26 #2 Bar Charts
5:04 #3 Pie Charts
"you'll probably never have to do this by hand"
Sir, I have only had to do them by hand. Thank you so much for saving my life by going through the steps anyway.
Content in your UA-cam channel is phenomenal, thanks for everything!
I was totally blank about this whole thing as a beginner in statistics,but your explanatory has definitely cleared the doubts on my mind,I was on the verge of giving up. You are just gave me something to go about thanks alot,I am looking forward learning a lot from you.
Very easy to understand. Thank you.
Great Work Prof Mike..
V. cute explanation.
V. cute baby voice..
Thanks! Our son is contributing to our videos now ;)
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
You have great videos! Thank you 🎉
thanks a lot Martin your lectures are super
Everyone talking about the video (even though it's a treasure), I always want to watch the video to the end just to listen to that cute voice 😂
Best stats course ever! Thank you so much
I've just began this statistics course after two years of basically floating in class, and i think this might be it
Great work to start on the basis! Appreciate it very much!
Thanks Leo! We’re filling out the beginning of our course. Once we finish those, regression modeling is next up...
Beautifully explained❤️❤️
Found this video ..too much helpful..
I am just confused , to where to learn and founded your channel 🤘.and this help me and cleared all my doubts🤘
Very helpful!thanks for sharing this video
You’re welcome
Great demonstration sir👏👌. I am little slow learner and this example made me to understand very clear. And all of your videos.
Could you please post video on prediction using R Studio.
And could you please demonstrate above charts in R Studio. I love data science and Visualization. But tutor like you can make me learn in easy way. Thant you very much for your efforts 👍🙏
library(ggplot2)
df
Thanks lecturer
Thanks you. It is very helpful.
You’re welcome
Thank you prof
You are so amazing!!
thanks :)
i really liked it
Is this the complete playlist of statistics to learn for data science?
it will provide a good start, but being honest, there is no complete list of everything to know for data science. anyone who claims that a particular playlist, or course, etc, is "everything you need to know for data science" is lying. there are a million things you could know, and the tools to know are expanding every day.
these videos give a solid foundation in the principles of statistics, and are better than most of what you will find anywhere, but they are not a complete list of everything to know
Wow ❤️❤️
Miller Lisa Hernandez Sarah Smith Richard
Lewis Margaret Johnson Michelle Jackson George
Young Mark Harris Melissa Hall Amy
Moore Charles Lewis Linda Johnson Karen
does no on notice this dude wrote everything backwards
Well, actually he wrote normally and then flipped the video using some software. He told this in a comment in one of the previous lectures. But the work required to do all that is no less impressive. I really appreciate his efforts in teaching us an expensive course for free. Isn't he truly amazing ♥️.