Visualizing Data in R with 'ggplot2' and 'ggThemeAssist' | R Tutorial (2020)

In this video we go through data visualization in R with "ggplot2" and "ggThemeAssist". Data visualizations include scatterplots, bar/column charts, and boxplots. We go through a number of the ggplot2 functionalities: stats/transformations, scales, facets, coordinate systems, position adjustments, and themes. We'll also look at the "ggThemeAssist", which will give you a guided user interface rapidly allowing you to create beautiful data visualizations using R!

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[niceday]

Thank you the ggthemes part is extremely helpful

[vineetsansi]

Hey Richard, have been following your videos from some time and must say its great content. I knew about esquisse package but not ggThemesAssist. Please keep covering all the cool packages.

Can you also make some video on tidy evaluation, quote /enquo and dply advance stuff. Its really confusing and there are not many videos on same. Thanks !!!

[BilluAck]

I hope that R will not vanish away due to python as I am hearing a lot of people pushing python for data science please Richard please answer to this as I really enjoyed R can I think of making career with R without any fear??

[m.gryphius]

Hey Richard, i've got a problem installing ggThemeAssist (using R 4.0):

>
Error in install.packages : object 'ggThemeAssist' not found

Any advice?

[Michaelmaggimee]

Hi Richard, will u be making your R script accessible to your subscribers? Thank you.

[than_hd]

Hi Richard, loving the content even if I'm slightly late to the party! Do you know if I can display a graph like you do without using print? At the moment I highlight the row and select run. Clicking source doesn't print it (without the print method)

graph = ggplot(dat) + geom_bar(stat = "identity", aes(x = state, y = rate)) + coord_flip()
print(graph)