Ggplot Histogram with Density Line

tidyverse.org

https://ggplot2.tidyverse.org/

Create Elegant Data Visualisations Using the Grammar of Graphics

However, in most cases you start with ggplot(), supply a dataset and aesthetic mapping (with aes()). You then add on layers (like geom_point() or geom_histogram()), scales (like scale_colour_brewer()), faceting specifications (like facet_wrap()) and coordinate systems (like coord_flip()).

posit.co

https://posit.co/wp-content/uploads/2022/10/data-v…

Data visualization with ggplot2 : : CHEAT SHEET - Posit

required ggplot(data = mpg, aes(x = cty, y = hwy)) Begins a plot that you finish by adding layers to. Add one geom function per layer. last_plot() Returns the last plot. ggsave("plot.png", width = 5, height = 5)Saves last plot as 5’ x 5’ file named "plot.png" in working directory. Matches file type to file extension. F M A F M A

r-project.org

https://cran.r-project.org/package=ggplot2

CRAN: Package ggplot2

A system for 'declaratively' creating graphics, based on "The Grammar of Graphics". You provide the data, tell 'ggplot2' how to map variables to aesthetics, what graphical primitives to use, and it takes care of the details.

datavizpyr.com

https://datavizpyr.com/ggplot2/

ggplot2 guide and cookbook (R)

A curated ggplot2 hub for R. Learn geoms, axes/scales, labels/annotations, themes, faceting, colors, and saving plots—each with working code and examples.

rdocumentation.org

https://www.rdocumentation.org/packages/ggplot2/ve…

ggplot2 package - RDocumentation

rstudio.github.io

https://rstudio.github.io/cheatsheets/html/data-vi…

Data visualization with ggplot2 :: Cheat Sheet - GitHub Pages

Geoms Use a geom function to represent data points, use the geom’s aesthetic properties to represent variables. Each function returns a layer. Graphical Primitives a <- ggplot(economics, aes(date, unemploy)) b <- ggplot(seals, aes(x = long, y = lat))

geeksforgeeks.org

https://www.geeksforgeeks.org/r-language/ggplot2-c…

ggplot2 Cheat Sheet - GeeksforGeeks

The `aes ()` function in ggplot stands for aesthetic mappings. It is used to map variables in your data to visual properties of the plot like position, color, size, shape, etc.

tidyverse.org

https://ggplot2.tidyverse.org/articles/ggplot2.htm…

Introduction to ggplot2

As the first step in many plots, you would pass the data to the ggplot() function, which stores the data to be used later by other parts of the plotting system.

r-charts.com

https://r-charts.com/ggplot2/

The ggplot2 package | R CHARTS

Check the full list of charts made with ggplot2 and learn how to customize the plots customizing the axes, the background color, the themes and others

r-statistics.co

https://r-statistics.co/Complete-Ggplot2-Tutorial-…

The Complete ggplot2 Tutorial - Part1 | Introduction To ggplot2 (Full R ...

The main difference is that, unlike base graphics, ggplot works with dataframes and not individual vectors. All the data needed to make the plot is typically be contained within the dataframe supplied to the ggplot() itself or can be supplied to respective geoms. More on that later.