Generate the plots below showing the distribution of dog weight by breed.
Make a violin plot with breed
on the x-axis and weight
on the y-axis. Make each breed white, 50% transparent, and outlined in a different colour, but omit the legend.
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Make a boxplot with breed
on the x-axis and weight
on the y-axis. Make each breed white, 50% transparent, and outlined in a different colour, but omit the legend.
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Make a density plot with weight
on the x-axis. Make each breed white, 50% transparent, and outlined in a different colour, but omit the legend.
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Use stat_summary
to create a column plot with breed
on the x-axis and weight
on the y-axis and error bars showing 1 standard error. Make each breed white, 50% transparent, and outlined in a different colour, but have the error bars be black. Omit the legend.
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Create a grid of the violin plot, boxplot, and column plot above with all three plots on the same row. Make the figure 8 inches wide, 4 inches tall, and the image cover 100% of the width of the markdown output.
For the four plots above, change the axis labels so the x-axis reads “Breed of Dog” or “Weight of Dog” (depending on the plot type) and the y-axis reads “Weight of Dog”, “Number of Dogs”, or “Density of Dogs” (depending on the plot type).
Change the default colours to “orange”, “dodgerblue”, and “hotpink”.
Add a title to each plot describing the plot type.
Save each plot as a PNG file with the names “dog_violin.png”, “dog_boxplot.png”, “dog_density.png”, and “dog_column.png” (the names are important so they show up in the code below).
Represent the relationships among disgust subscales from the dataset reprores::disgust_scores.
Graph the linear relationship between moral and pathogen disgust. Make sure the axes run from the minimum to maximum possible scores on both axes. Give the graph an appropriate title and axis labels.
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If you add geom_point()
to the plot above, you’ll see that there is too much data for this visualisation to make sense. Instead, create a 2d density plot of the relationship between moral and pathogen disgust for disgust_scores
.
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Create a grid of plots for the reprores::stroop dataset using faceting.
Plot rt
for each combination of word
and ink
to make a 5x5 grid of density plots. Make each plot line the same colour as the ink. For bonus points, make the lines for plots where the ink colour matches the word colour thicker than the other lines.
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Create a 3x3 grid of linear line plots from disgust_scores
with columns representing the x-axis and rows representing the y-axis and assign it to disgust_grid
. Put a density plot of each variable along the diagonal. Make sure the graphs have appropriate titles and axis labels and that the range of the axes are the same in all graphs.
moral | sexual | pathogen | |
---|---|---|---|
moral | density | line | line |
sexual | line | density | line |
pathogen | line | line | density |