Advanced ggplot (episode #1)

If you are doing data visualisation with ggplot the you'll find this video useful. ggplot2 is one of the tidyverse packages and is used to create graphs and plots. Data visualization is an important part of both understanding and communicating the outcomes of your data analysis. In this video we look at how to define some of the tic labels, headings and legend position in your plot. If you are a data scientist, learning statistics or needing do analyse data for any reason, then you'll find this interesting. R programming is exciting and fun. I hope that you enjoy.
This channel is supported by Nested Knowledge - an online platform that supports the entire literature review process. Please do check them out at this link: my.nested-knowledge.com/r-pro...

[@RProgramming101]

Get my FREE cheat sheets for R programming and statistics (including transcripts of these lessons) here: www.learnmore365.com/courses/rprogramming-resource-library

[@Browncas]

thank you, great video. Looking forward to episode #2

[@saadalhumaid3959]

Thank you very much! You are a brilliant RStudio tutor

[@Schmelena]

You make the best R videos... for real! 🎉

[@RProgramming101]

thanks El W - you are very kind to say s o

[@andresrengifo7801]

Other great video about ggplot, thaks !Boom chakalaka!

[@banamailat_BM]

Really great channel. And I'm learning a lot from you. Thank you very much. For a non-native English speaker like me, it's really hard to follow fast speech. That's why I watch at Playback speed 0.75. Thank you again for everything..👍👍👍

[@DM-py7pj]

Great content. The sounds which accompany the boxing and underlining (scratchy pen sounds?) effects are stress-inducing and distracting. I know I am just 1 random person on the internet.

[@IarukaSkYouk]

sir, your videos are really helping me getting better at using R. thank you so much, you are a big inspiration for the R community

[@RProgramming101]

Glad you like the videos - thanks for the feedback

[@IarukaSkYouk]

@@RProgramming101 sir, I know you did a video on cleansing data, but if possible, can you expand more on that topic? it would help a lot of viewers since you are more nuanced than most tutorials teaching data cleansing I have seen.

[@mocabeentrill]

You're a beast with R! Thank you.

[@RProgramming101]

Thanks Moca :)

[@aseelaraji7045]

You are the best thank you 🙏

[@md.tahsinrahi2926]

This is amazing. Thank you so much

[@RProgramming101]

You're very welcome!

[@gianluca.pastorelli]

Hi Greg, great video as always! I'm glad you are diving a bit deeper into ggplot's functionalities 👏 I'm just wondering why you barely touched on R Markdown... it's an incredibly powerful tool and I wish you did a dedicated video. Keep up the good work! 👍

[@haraldurkarlsson1147]

He is using Quarto which is even better than RMarkdown.

[@gianluca.pastorelli]

@@haraldurkarlsson1147 yes, eventually he posted several videos about Quarto

[@steveowino1911]

Hello, thank you for your great videos, Is there a qqplot video...can't find any.

[@DataMindPro21]

plese make a video on RFM segmentations

[@tuhinsuryachakraborty]

❤

[@aguscmzz]

do you think ggplot is better than seaborn, and others in python?

[@adriansoto2107]

Thank you for this video! Quick Q. In >... + labs(x=" ",) + ... What are the "" doing?

[@RProgramming101]

Just telling R not to put any label there at all (leave it blank)

[@davepunk2077]

Badabeem badaboom 😅

[@Diallo14]

Your videos have been very helpful, unfortunately the salaries and msleep dataset are not available on my Rstudio. Please how can I get those datasets. Thank you.

[@learnteach4730]

same to me.

[@PaulinaRamos18]

good video, pity about the realities of gender inequalities, if this data is true :(

[@WilliamEtzler]

fix your audio