Finished posts/ggplot2-vs-plotnine

.Rhistory

@@ -156,3 +156,114 @@ penguins
 penguins |> distinct(year)
 penguins |> dplyr::distinct(year)
 PalmerPenguins
+library(ggplot2)
+library(palmerpenguins)
+penguins <- na.omit(palmerpenguins::penguins)
+ggplot(penguins,
+aes(x = bill_length_mm, y = bill_depth_mm,
+color = species, shape = species)) +
+geom_point() +
+geom_smooth(method = "lm", formula = 'y ~ x') +
+labs(x = "Bill length (mm)", y = "Bill Width (mm)",
+title = "Bill Length vs. Bill Width",
+subtitle = "Using geom_point and geom_smooth of the ggplot2 package",
+color = "Species", shape = "Species") +
+theme_minimal()
+lggplot(penguins, aes(x = fct_infreq(species))) +
+geom_bar()
+ggplot(penguins, aes(x = fct_infreq(species))) +
+geom_bar()
+?fct_infreq
+??fct_infreq
+ggplot(penguins,
+aes(x = species)) +
+geom_bar()
+penguins
+ggplot(penguins,
+aes(x = island)) +
+geom_bar()
+reticulate::repl_python()
+penguins
+ggplot(penguins,
+aes(x = bill_length_mm)) +
+geom_histogram(binwidth = 200)
+ggplot(penguins,
+aes(x = bill_length_mm)) +
+geom_histogram(binwidth = 5)
+ggplot(penguins,
+aes(x = bill_length_mm)) +
+geom_histogram(binwidth = 10)
+ggplot(penguins,
+aes(x = bill_length_mm)) +
+geom_histogram(binwidth = 2.5)
+ggplot(penguins,
+aes(x = bill_length_mm)) +
+geom_histogram(binwidth = 2)
+reticulate::repl_python()
+ggplot(penguins,
+aes(x = bill_length_mm)) +
+geom_histogram(binwidth = 2) +
+geom_density()
+ggplot(penguins,
+aes(x = bill_length_mm)) +
+geom_histogram(binwidth = 2) +
+geom_density()
+ggplot(penguins,
+aes(x = bill_length_mm)) +
+# geom_histogram(binwidth = 2) +
+geom_density()
+ggplot(penguins,
+aes(x = bill_length_mm)) +
+geom_histogram(binwidth = 2) +
+geom_density()
+ggplot(penguins,
+aes(x = bill_length_mm)) +
+geom_histogram(binwidth = 2)
+reticulate::repl_python()
+ggplot(penguins, aes(x = body_mass_g, color = species)) +
+geom_density(linewidth = 0.75)
+reticulate::repl_python()
+ggplot(penguins,
+aes(x = body_mass_g, color = species, fill = species)) +
+geom_density(linewidth = 0.75, alpha = 0.5)
+ggplot(penguins,
+aes(x = body_mass_g, color = species, fill = species)) +
+geom_density(size = 0.75, alpha = 0.5)
+ggplot(penguins, aes(x = island, fill = species)) +
+geom_bar(position = "fill")
+reticulate::repl_python()
+ggplot(penguins, aes(x = species, fill = island)) +
+geom_bar(position = "fill")
+reticulate::repl_python()
+penguins
+ggplot(penguins, aes(x = bill_length_mm, y = flipper_length_mm)) +
+geom_point()
+reticulate::repl_python()
+ggplot(penguins,
+aes(x = bill_length_mm, y = flipper_length_mm)) +
+geom_point()
+ggplot(penguins,
+aes(x = bill_length_mm, y = flipper_length_mm)) +
+geom_point(size = 2)
+reticulate::repl_python()
+ggplot(penguins, aes(x = flipper_length_mm, y = body_mass_g)) +
+geom_point(aes(color = species, shape = species)) +
+facet_wrap(~island)
+ggplot(penguins,
+aes(x = bill_length_mm, y = flipper_length_mm)) +
+geom_point(aes(color = island, shape = island)) +
+facet_wrap(~species)
+reticulate::repl_python()
+ggsave(penguins_figure, filename = "penguins-figure.png",
+width = 4, height = 3, dpi = 300)
+penguins_figure <- penguins |>
+ggplot(aes(x = bill_length_mm, y = flipper_length_mm)) +
+geom_point()
+ggsave(penguins_figure, filename = "penguins-figure.png",
+width = 4, height = 3, dpi = 300)
+penguins_figure <- penguins |>
+ggplot(aes(x = bill_length_mm, y = flipper_length_mm)) +
+geom_point()
+ggsave(penguins_figure, filename = "penguins-figure.png",
+width = 7, height = 5, dpi = 300)
+reticulate::repl_python()

docs/index.html

@@ -146,7 +146,7 @@
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+<a href="./posts/ggplot2-vs-plotnine/index.html" class="quarto-grid-link">
+<div class="quarto-grid-item card h-100 card-left">
+<p class="card-img-top">
+<img src="./posts/ggplot2-vs-plotnine/thumbnail.png" class="thumbnail-image card-img" style="height: 100%;" alt="An image of a bright and friendly office setting with two equally sized screens placed centrally. Each screen displays a simple line chart without any text or numbers. The office is very well-lit, giving a warm and inviting ambiance. The decor is colorful and cheerful, with a minimalist design. The two screens are on a sleek, modern desk in the center of the image. The line charts are clear and straightforward. The overall atmosphere of the office is lively and welcoming, with vibrant colors and ample natural light. Created with DALL-E 3.">
+</p>
+<div class="card-body post-contents">
+<h5 class="no-anchor card-title listing-title">
+Tidy Data Visualization: ggplot2 vs plotnine
+</h5>
+<div class="card-text listing-description">
+A comparison of implementations of the grammar of graphics in R and Python.
+</div>
+</div>
+</div>
+</a>
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