Introduction to ggplot2 Package in R | Data Visualization Tutorial for Beginners & Advanced Examples

Table of contents:

00:00 - Introduction
00:42 - Grammar of Graphics & ggplot2 Layers
02:02 - Basic Application of ggplot2 Package
13:24 - Advanced Data Visualization
33:04 - Outro

R code of this video:

y = c(3, 1, 4,
3, 5, 2,
1, 2, 3),
group = rep(LETTERS[1:3], each = 3))
data # Print example data

library("ggplot2") # Load ggplot2

ggplot(data, # Draw basic ggplot2 scatterplot
aes(x = x,
y = y)) +
geom_point()

ggplot(data, # Increase point size
aes(x = x,
y = y)) +
geom_point(size = 3)

ggplot(data, # Set colors by groups
aes(x = x,
y = y,
col = group)) +
geom_point(size = 3)

ggp_simple ＜- ggplot(data, # Store ggplot2 plot in data object
aes(x = x,
y = y,
col = group)) +
geom_point(size = 3)

ggp_simple + # Change x-axis limits
scale_x_continuous(limits = c(- 3, 15))

ggp_simple + # Change colors by groups
scale_color_manual(breaks = c("A", "B", "C"),
values = c("#1b98e0", "#353436", "#e32f08"))

ggp_simple + # Add multiple scale layers
scale_x_continuous(limits = c(- 3, 15)) +
scale_color_manual(breaks = c("A", "B", "C"),
values = c("#1b98e0", "#353436", "#e32f08"))

ggp_simple + # Create subplots using facet_wrap()
scale_x_continuous(limits = c(- 3, 15)) +
scale_color_manual(breaks = c("A", "B", "C"),
values = c("#1b98e0", "#353436", "#e32f08")) +
facet_wrap(group ~ .)

ggp_simple + # Change ggplot2 theme
scale_x_continuous(limits = c(- 3, 15)) +
scale_color_manual(breaks = c("A", "B", "C"),
values = c("#1b98e0", "#353436", "#e32f08")) +
facet_wrap(group ~ .) +
theme_bw()

ggp_simple + # Remove legend from plot
scale_x_continuous(limits = c(- 3, 15)) +
scale_color_manual(breaks = c("A", "B", "C"),
values = c("#1b98e0", "#353436", "#e32f08")) +
facet_wrap(group ~ .) +
theme_bw() +

ggp_simple + # Remove axis information
scale_x_continuous(limits = c(- 3, 15)) +
scale_color_manual(breaks = c("A", "B", "C"),
values = c("#1b98e0", "#353436", "#e32f08")) +
facet_wrap(group ~ .) +
theme_bw() +

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License code: UPK3JXJBTLOEWP2T

[rodneyjones]

Excellent tutorial! I have always found ggplot2 confusing, but in the video all is very clearly explained. Thank you.

[darrylmorgan]

Thank You Joachim Loving The New Channel Format!Great Tutorial Dude!!

[magdawaits]

Such a great teacher! honestly the best explanation of ggplot that I have seen on Youtube!

[gecarter]

This was a great intro to ggplot(). Within 30 minutes, you were able share enough of the basics so a beginner could easily create impressive graphics. The only thing I'd be careful about is making column names that match parameter names (example: aes(x = x, y = y)). This can be a bit confusing. 👏

[muhammedhadedy]

Excellent presentation and perfect explanation of ggplot2 package. I owe you a lot for getting experience in R. Please, keep up the great work.
I just want to ask you if you can make a tutorial on the (lubridate) package, as - I believe - you are the best person that can explain it in an elegant way.
Again, thank you so much.
😊😊😊😊

[ramgouveia]

Excellent work as usual. It misses only one thing. The video should be divided in sections.

[anteachmad]

Thank You, Excellent tutorial!
Do you have a video about GPCM analysis and scree plots of grain parameter invariance tests?

[AnseloSilver]

coding line 123 to 125 does not work for me, I get error : Error in aggregate.data.frame(diamonds, price ~ clarity, mean) : 'by' must be a list.
anyone can help?

[kpkavitha]

Im trying to plot ggplot but it's not getting. My data set has two variable or samples collected from same place, places Or location grouped in to 5 places. So total data points are 24 that is 24 x nd 24 y. so how to write command. I got basic scatter plot.. But in that place is not coming. X nd y, that are the variable from same places . As I have 5 locations. Help me over this😢😢 I saw full video... Tried faucet also.. Not getting...