The facets layer IN TERMEDIATE DATA VIS UALIZ ATION W ITH GGP LOT2 - - PowerPoint PPT Presentation

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The facets layer IN TERMEDIATE DATA VIS UALIZ ATION W ITH GGP LOT2 - - PowerPoint PPT Presentation

Mar 20, 2024 21 likes •555 views

The facets layer IN TERMEDIATE DATA VIS UALIZ ATION W ITH GGP LOT2 Rick Scavetta Founder, Scavetta Academy Facets Straight-forward yet useful Concept of Small Multiples Popularized by Edward Tufte Visualization of Quantitative Information,

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The facets layer

IN TERMEDIATE DATA VIS UALIZ ATION W ITH GGP LOT2

Rick Scavetta

Founder, Scavetta Academy

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INTERMEDIATE DATA VISUALIZATION WITH GGPLOT2

Facets

Straight-forward yet useful Concept of Small Multiples Popularized by Edward Tufte Visualization of Quantitative Information, 1983

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INTERMEDIATE DATA VISUALIZATION WITH GGPLOT2

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INTERMEDIATE DATA VISUALIZATION WITH GGPLOT2

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INTERMEDIATE DATA VISUALIZATION WITH GGPLOT2

iris.wide

p <- ggplot(iris.wide, aes(x = L y = W ccolo geom_jitter(alpha = 0.7) + scale_color_brewer(palette = " coord_fixed() p

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INTERMEDIATE DATA VISUALIZATION WITH GGPLOT2

iris.wide & facet_grid()

p <- ggplot(iris.wide, aes(x = Length, y = Width, color = Part)) + geom_jitter(alpha = 0.7) + scale_color_brewer(palette = "Set1") + coord_fixed() p + facet_grid(cols = vars(Species))

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INTERMEDIATE DATA VISUALIZATION WITH GGPLOT2

Formula notation

p <- ggplot(iris.wide, aes(x = Length, y = Width, color = Part)) + geom_jitter(alpha = 0.7) + scale_color_brewer(palette = "Set1") + coord_fixed() p + facet_grid(. ~ Species)

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INTERMEDIATE DATA VISUALIZATION WITH GGPLOT2

iris.wide2

ggplot(iris.wide2, aes(x = Part, y = setosa, color = Measure)) + geom_jitter() ggplot(iris.wide2, aes(x = Part, y = versicolor, color = Measure)) + geom_jitter() ggplot(iris.wide2, aes(x = Part, y = virginica, color = Measure)) + geom_jitter()

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INTERMEDIATE DATA VISUALIZATION WITH GGPLOT2

iris.tidy

ggplot(iris.tidy, aes(x = Measure, y = Value, color = Part)) + geom_jitter() + facet_grid(cols = vars(Species))

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INTERMEDIATE DATA VISUALIZATION WITH GGPLOT2

iris.tidy faceting done

wrong:

ggplot(iris.tidy, aes(x = Me y = Va color geom_jitter() + facet_grid(rows = vars(Spe

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INTERMEDIATE DATA VISUALIZATION WITH GGPLOT2

Other options

Split according to rows and columns

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Let's practice!

IN TERMEDIATE DATA VIS UALIZ ATION W ITH GGP LOT2

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Facet labels and

  • rder

IN TERMEDIATE DATA VIS UALIZ ATION W ITH GGP LOT2

Rick Scavetta

Founder, Scavetta Academy

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A new dataframe

# Plot p <- ggplot(msleep2, aes(bod bra geom_point(alpha = 0.6, sh coord_fixed() p

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INTERMEDIATE DATA VISUALIZATION WITH GGPLOT2

A new dataframe, with facets

p + facet_grid(rows = vars(vor

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INTERMEDIATE DATA VISUALIZATION WITH GGPLOT2

A new dataframe, with facets

p + facet_grid(rows = vars(vor

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Poor labels and order

p + facet_grid(rows = vars(vor

Two typical problems with facets: Poorly labeled (e.g. non descriptive) Wrong or inappropriate

  • rder
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Poor labels and order

p + facet_grid(rows = vars(vor

Solutions: Easy: Add labels in ggplot Better: Relabel and rearrange factor variables in your dataframe

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The labeller argument

# Default is to label the va p + facet_grid(rows = vars(vor labeller = labe

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INTERMEDIATE DATA VISUALIZATION WITH GGPLOT2

Using label_both adds the variable name

# Print variable name also p + facet_grid(rows = vars(vor labeller = la

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Two variables on one side

p + facet_grid(rows = vars(vor con

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INTERMEDIATE DATA VISUALIZATION WITH GGPLOT2

Using label_context avoids ambiguity

p + facet_grid(rows = vars(vor con labeller = la

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INTERMEDIATE DATA VISUALIZATION WITH GGPLOT2

Use rows and columns when appropriate

p + facet_grid(rows = vars(vor cols = vars(con labeller = labe

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INTERMEDIATE DATA VISUALIZATION WITH GGPLOT2

Use rows and columns when appropriate

p + facet_grid(rows = vars(vor cols = vars(con

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INTERMEDIATE DATA VISUALIZATION WITH GGPLOT2

Use rows and columns when appropriate

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INTERMEDIATE DATA VISUALIZATION WITH GGPLOT2

Relabeling and reordering factors

msleep2$conservation <- fct_recode(msleep2$conservation, Domesticated = "domestic `Least concern` = "lc", `Near threatened` = "nt" Vulnerable = "vu", Endangered = "en") msleep2$vore = fct_recode(msleep2$vore, Carnivore = "carni", Herbivore = "herbi", Insectivore = "insecti", Omnivore = "omni")

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Reinitialize plot with new labels

# Plot p <- ggplot(msleep2, aes(bod bra geom_point(alpha = 0.6, sh coord_fixed() p + facet_grid(rows = vars(vor cols = vars(con

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Reinitialize plot with new labels

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Changing the order of levels

# Change order of levels: msleep2$conservation = fct_relevel(msleep2$conservation, c("Domesticated", "Least concern", "Near threatened", "Vulnerable", "Endangered"))

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Reinitialize plot with new order

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Let's practice!

IN TERMEDIATE DATA VIS UALIZ ATION W ITH GGP LOT2

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Facet plotting spaces

IN TERMEDIATE DATA VIS UALIZ ATION W ITH GGP LOT2

Rick Scavetta

Founder, Scavetta Academy

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Facets and variable plotting spaces

Reasons to not use consistent plotting spaces: Variable type Subsets contains Continuous Wildly different ranges Categorical Different groups

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Adjusting the plotting space...

ggplot(msleep2, aes(bodywt_l brainwt_ geom_point(alpha = 0.6, sh coord_fixed() + facet_grid(rows = vars(vor cols = vars(con

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... but not with xed scales

ggplot(msleep2, aes(bodywt_log, brainwt_log)) + geom_point(alpha = 0.6, shape = 16) + coord_fixed() + facet_grid(rows = vars(vore), cols = vars(conservation), scales = "free_x") Error: coord_fixed doesn't support free scales

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INTERMEDIATE DATA VISUALIZATION WITH GGPLOT2

Adjusting the plotting space

ggplot(msleep2, aes(bodywt_l brainwt_ geom_point(alpha = 0.6, sh facet_grid(rows = vars(vor cols = vars(con scales = "free_

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INTERMEDIATE DATA VISUALIZATION WITH GGPLOT2

Adjusting the plotting space

ggplot(msleep2, aes(bodywt_l brainwt_ geom_point(alpha = 0.6, sh facet_grid(rows = vars(vor cols = vars(con scales = "free_

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INTERMEDIATE DATA VISUALIZATION WITH GGPLOT2

Adjusting the plotting space

ggplot(msleep2, aes(bodywt_l brainwt_ geom_point(alpha = 0.6, sh facet_grid(rows = vars(vor cols = vars(con scales = "free"

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INTERMEDIATE DATA VISUALIZATION WITH GGPLOT2

Adjusting the plotting space

ggplot(msleep2, aes(x = body y = name geom_point() + facet_grid(rows = vars(vor

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INTERMEDIATE DATA VISUALIZATION WITH GGPLOT2

Adjusting the plotting space

ggplot(msleep2, aes(x = body y = name geom_point() + # Free the y scales and sp facet_grid(rows = vars(vor scales = "free_

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INTERMEDIATE DATA VISUALIZATION WITH GGPLOT2

Adjusting the plotting space

ggplot(msleep2, aes(x = body y = name geom_point() + # Free the y scales and sp facet_grid(rows = vars(vor scales = "free_ space = "free_y

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Final adjustments

msleep2 <- msleep2 %>% # Arrange from lo to hi weight arrange(-bodywt_log) %>% # Redefine factor levels in or mutate(name = as_factor(name)) # New order is reflected in y ax ggplot(msleep2, aes(x = bodywt_l y = name)) + geom_point() + # Free the y scales and space facet_grid(rows = vars(vore), scales = "free_y", space = "free_y")

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Let's practice!

IN TERMEDIATE DATA VIS UALIZ ATION W ITH GGP LOT2

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Facet wrap & margins

IN TERMEDIATE DATA VIS UALIZ ATION W ITH GGP LOT2

Rick Scavetta

Founder, Scavetta Academy

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Adjusting the plotting space

ggplot(msleep2, aes(bodywt_l brainwt_ geom_point(alpha = 0.6, sh facet_grid(rows = vars(vor cols = vars(con scales = "free"

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Using facet_wrap()

Use cases:

  • 1. When you want both x and y axes to be free on every individual

plot i.e. Not just per row or column as per facet_grid()

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Using facet_wrap() - Scenario 1

ggplot(msleep2, aes(bodywt_l brainwt_ geom_point(alpha = 0.6, sh facet_wrap(vars(vore, cons scales = "free"

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INTERMEDIATE DATA VISUALIZATION WITH GGPLOT2

Using facet_wrap()

Use cases:

  • 1. When you want both x and y axes to be free on every individual

plot i.e. Not just per row or column as per facet_grid()

  • 2. When your categorical (factor) variable has many groups (levels)

i.e. too many sub plots for column or row-wise faceting A more typical scenario

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Using facet_wrap() - Scenario 2

ggplot(msleep2, aes(bodywt_l brainwt_ geom_point(alpha = 0.6, sh facet_wrap(vars(order))

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Using margin plots

ggplot(msleep2, aes(bodywt_l brainwt_ geom_point(alpha = 0.6, sh facet_grid(rows = vars(vor cols = vars(con scales = "free"

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INTERMEDIATE DATA VISUALIZATION WITH GGPLOT2

Using margin plots

ggplot(msleep2, aes(bodywt_l brainwt_ geom_point(alpha = 0.6, sh facet_grid(rows = vars(vor cols = vars(con scales = "free" margins = TRUE)

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INTERMEDIATE DATA VISUALIZATION WITH GGPLOT2

Using margin plots

ggplot(msleep2, aes(bodywt_l brainwt_ geom_point(alpha = 0.6, sh facet_grid(rows = vars(vor cols = vars(con scales = "free" margins = "cons

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Let's practice!

IN TERMEDIATE DATA VIS UALIZ ATION W ITH GGP LOT2