Bar Chart, Pie Chart, Frequency Tables | Statistics Tutorial | MarinStatsLectures

Bar Chart, Pie Chart & Frequency Tables with Examples; Learn how to summarize categorical (Qualitative) variables or factors using frequency tables and different plots like bar charts and pie charts. 👉🏼 How to create Bar Chart and Pie Charts with R ( • Bar Charts and Pie Cha... )
👍🏼Best Statistics & R Programming Language Tutorials: ( goo.gl/4vDQzT )
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This video presents how to summarize a categorical variable. Specifically, we discuss the idea of a frequency table, a proportion, a percentage, and 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.
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► Statistics Course for Data Science bit.ly/2SQOxDH
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►Probability distributions in R using R Studio (Series 3): bit.ly/2AT3wpI
►Bivariate analysis in R using R Studio (Series 4): bit.ly/2SXvcRi
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[@marinstatlectures]

👋🏼 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!

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Others: This video is so helpful, it saved me life!! Me: Is he writing everything BACKWARDS??

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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!

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[@marinstatlectures]

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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.

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Beautifully explained❤️❤️

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Thanks lecturer

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i really liked it

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Thank you prof

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[@marinstatlectures]

You’re welcome

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[@marinstatlectures]

You’re welcome

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Great work to start on the basis! Appreciate it very much!

[@marinstatlectures]

Thanks Leo! We’re filling out the beginning of our course. Once we finish those, regression modeling is next up...

[@akashsinghrajput2175]

Great Work Prof Mike.. V. cute explanation. V. cute baby voice..

[@marinstatlectures]

Thanks! Our son is contributing to our videos now ;)

[@Drkalaamarab]

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 👍🙏

[@littleboylb]

library(ggplot2) df

[@shivamsehgal9120]

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[@marinstatlectures]

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

[@jessepond7935]

does no on notice this dude wrote everything backwards

[@m.mohtashim2000]

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 ♥️.