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Advanced ggplot #2 - create beautiful plots and graphs using R programming. 

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This is my second advanced ggplot video that explores using R programming to create facets. Data visualisation is an important part of data analysis and communicating your findings. Ggplot2 is an incredibly powerful tool for data visualization and enables data scientists or anyone doing data analysis using R programming to produce beautiful plots and graphs.
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-programming

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4 апр 2023

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Комментарии : 23   
@RProgramming101
@RProgramming101 Год назад
Get my FREE cheat sheets for R programming and statistics (including transcripts of these lessons) here: www.learnmore365.com/courses/rprogramming-resource-library
@lody33100
@lody33100 Год назад
You are passing a huge knowledge for people. This channel deserves to be the biggest 👌
@samueljuma5905
@samueljuma5905 Год назад
I agree with you 100%, this guy deserves a Nobel prize!!!
@fourlokody
@fourlokody Год назад
this channel has been a great help to me. I've had to learn R for my job. Please continue uploading.
@sirjoka2808
@sirjoka2808 Год назад
Short, concise and fun to watch. I always learn something from you. Thank you
@alphonceodhiambo4028
@alphonceodhiambo4028 Год назад
I learn a lot from your teachings. You are one of the best in the R community
@osoriomatucurane9511
@osoriomatucurane9511 Год назад
Awesome. I am glad to see u recently moving into Quarto or Rmardown on your truly informative tutorials. It is really amazing!
@eslamreda159
@eslamreda159 10 месяцев назад
hi sir, thanx a lot for your very nice efforts, we still waiting for more advanced ggplot2.
@Schmelena
@Schmelena Год назад
Thank you so much for your videos. They are so easy to understand. I'll just comment on every of your videos so you see how much I appreciate your work 😅 hope you will be motivated to continue uploading videos for us😊 kind regards Lena
@thielaut
@thielaut Год назад
The best channel about R. Thank you so much 🙏
@RProgramming101
@RProgramming101 Год назад
Wow, thank you! Your continued support motivates me to create more content.
@AlbertoFCabreraCasillas
@AlbertoFCabreraCasillas Год назад
I always learn something new from you. You introduced us to a variation of facet_wrap, facet_grid, rarely discussed in the R graphics books. I wonder if you would devote some time in the future illustration R Markdown.
@mibr8148
@mibr8148 Год назад
Perfect job!
@88pianissimo90
@88pianissimo90 11 месяцев назад
I'm from SAP analytics and data warehousing background. Recently I started using R and I really like it.
@sagarlokare5269
@sagarlokare5269 Год назад
Been Watching your videos, you really are a rock star R
@mikiallen7733
@mikiallen7733 6 месяцев назад
hi sir , thanks for the effort , however how one can use the same package to generate such faceted style of graphs (i.e. dynamically )in case of on-line (live) data polling case for example from yahoo weather data? would you kindly provide an example to showcase such situation , thanks
@fms6306
@fms6306 Год назад
Ty I love your videos. U r a great teacher... in the same way u tell us not to do drugs.... can I tell u not to stop doing videos please
@mustahedinhoque4430
@mustahedinhoque4430 Год назад
Sir ####Meta analysis video please make a video series in meta-analysis
@birdieblue19
@birdieblue19 5 месяцев назад
i have a problem. what if my data is already scrubbed via one hot encoding. i dont have categorical variables to plot the graphs based on the category rather i have flags for each category obtained via one hot encoding.
@andresrengifo7801
@andresrengifo7801 Год назад
We learn too much, thanks
@gianluca.pastorelli
@gianluca.pastorelli Год назад
It's never too much 😉
@alvaromorales6828
@alvaromorales6828 Год назад
I don't think this is advanced...
@chicanicajfcp
@chicanicajfcp 10 месяцев назад
It's a beginner tutorial. It's misleading to put it as advanced and to find it when you search for advanced ggplot2.