Image 1 of 1: ‘Cartoon illustration of bill length and depth by @Allison Horst (CC-BY-4.0);’
Figure 2
Image 1 of 1: ‘Diagram illustrating use of select function to select two columns of a data frame’
Figure 3
Image 1 of 1: ‘Cartoon showing three fuzzy monsters either selecting or crossing out rows of a data table. If the type of animal in the table is “otter” and the site is “bay”, a monster is drawing a purple rectangle around the row. If those conditions are not met, another monster is putting a line through the column indicating it will be excluded. Stylized text reads "dplyr::filter() - keep rows that satisfy your conditions."’
Figure 4
Image 1 of 1: ‘Diagram illustrating how the group by function oraganizes a data frame into groups’
Figure 5
Image 1 of 1: ‘Diagram illustrating the use of group by and summarize together to create a new variable’
Figure 6
Image 1 of 1: ‘Cartoon of cute fuzzy monsters dressed up as different X-men characters, working together to add a new column to an existing data frame. Stylized title text reads "dplyr::mutate - add columns, keep existing."’
Image 1 of 1: ‘Blank plot, before adding any mapping aesthetics to ggplot().’
Figure 2
Image 1 of 1: ‘Plotting area with axes for a scatter plot of mean body mass vs year, with no data points visible.’
Figure 3
Image 1 of 1: ‘Scatter plot of mean body mass vs year, now showing the data points.’
Figure 4
Image 1 of 1: ‘Scatter plot showing bill length (mm) versus flipper length (mm) for individual penguins, displaying each species as distinct points. All points are coloured on the plot are coloured black.’
Figure 5
Image 1 of 1: ‘Scatter plot of body mass (g) vs flipper length (mm), with points color-coded by penguin species to show how body mass varies by species and flipper length, thus showing the value of 'aes' function’
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Image 1 of 1: ‘Scatter plot of mran body mass (g) over time, with lines connecting values for each year and species, demonstrating species-specific trends in body mass across years’
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Image 1 of 1: ‘Scatter plot of flipperer length vs bill length with a blue trend line summarising the relationship between variables, and gray shaded area indicating 95% confidence intervals for that trend line.’
Figure 14
Image 1 of 1: ‘Scatter plot of flipper length vs bill length with a trend line summarising the relationship between variables. The trend line is slightly thicker than in the previous figure.’
Figure 15
Image 1 of 1: ‘Scatter plot of average body mass (g) over time, showing enlarged orange data points for each year, connected by lines colored by species.’
Figure 16
Image 1 of 1: ‘Scatter plot of flipper length (mm) against bill length (mm).’
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Image 1 of 1: ‘Boxplot comparing flipper length (mm) across penguin species, with labeled axes showing species on the x-axis and flipper length on the y-axis, and the legend hidden for a cleaner view.’