Using ggplot to create bar charts for 2 categorical variables. R programming for beginners.

Creating bar charts or bar graphs is easy using ggplot. R programming provides a number of alternatives for data visualisation. Ggplot or ggpot2 is, in my opinion, the best way to visualise your data and create plots and graphs during your data analysis. If you're interested in quantitative analysis, data science and statistics, then this video is for you. This is an R programming for beginners video.

[Ruostesieni]

Absolutely love these videos of yours! Keep it up! Wanted to change away from SPSS to R for my doctoral thesis and your videos have given me the motivation AND means to do it.

[kiwookkim]

haha always love it when you end with "don't do drugs, don't ever change". Fantastic resource for R beginners like myself, thank you!

[HomieCV]

Currently doing my Google data analytics certificate and I really enjoy adding to my knowledge with these videos. kuddos on your teaching abilities.

[edongoogle]

My favourite channel! Please do an analysis of variance (ANOVA) test for three related data sets of different sizes, including numeric and categorical variables. That would be brilliant.

[someone]

Very informative video. Would suggest for a follow up video that includes adding error bars to the graph, as well as, significance indicators (previously calculated letters or asterisks) above each individual bar. This would be helpful in the cases where the is a single and 2 categorical variables.

[MrRubyElf]

Oh my god thank you so much, you have no idea how long I've been looking for how to separate the bars by different variables. You also made it clear what pipes are. Thank you!

[perpetuankeseifiemor]

Wow!!! Amazing video! R simplified!!! Am glad I came across this video! Makes R more interesting and understandable! Thank you so much!!🙏

[ninafulep]

Amazing video! I don't know what I would've done without them, you make R actually fun! I was wondering, in which video do you talk about adding labels to amounts in a stacked barchart? thanks!

[ousmanelom]

The best teacher in R with you it become easy

[daameya]

Excellent Video. It was very easy to understand and helpful to complete a class assignment. Big Thumps up.

[epeliloganimoce]

Great explanation: short, succinct and intuitive

[deeptimittal]

Very nice explanation which is very easy to understand.

[frank]

Hi dear, i tryed for hours did something like that in some seconds of video you explained exactly what i whant.

thank you

[theoshouse]

THANK YOU. really helpful for my poli sci project AND this is making me want to get into R for its own sake

[theexpatteacher]

Thanks so much for an awesome video. I really like using the pipe operator which, as you said, cuts down on creating more objects. My code is cleaner now and easier to follow.

[dominiquebarrette]

Really excellent communicator bravo and thank you so much

[yogawithmichellejulie]

Thank you so much for explaining everything so well! You're a real life-safer :)

[Simba-The_Lion]

Learning a lot here feels easier and understandable.

[jerrynyameye]

My favourite teacher of all time...love you sir keep up the good work
I have a question and that is how do you visualise your data after cleaning...?

I filtered a datafram and use mutate function to add new row to the datafram
After which I wanted to use ggplot2 to visualise my data but it throwed an error message saying object not found thus the new row I created not found

[kwetynasc]

Great videos! Could you post tutorials on Inferential statistics and Biostatistics with R?
Much appreciated!