title: "My answers" author: "" date: " r format(Sys.time(), "%d %B, %Y") " output: pdf_document: default
Objective: explore how some mammals sleep
Data: msleep
The dataset is part of the package ggplot2 and comes as a tibble
Diispllay msleep and iits collumns
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There are 5 columns with the type (categories as character) and the 6 last are double/float
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Per order, the 3 dominant ones are Rodentia, Primates and Carnivora
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Body / Brain weight
It seems reasonable to expect some correlation between the brain and body weights.
Pllot the rellatiionshiip between the body mass and braiin mass
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Confiirm the lliinear tiime constraiint of the trade-off between sleep_total and awake
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```{r} library(ggrepel) mtcars %>% rownames_to_column(var = "name") %>% ggplot(aes(x = wt, y = mpg, colour = factor(am))) + geom_point() + geom_label_repel(data = function(x) filter(x, cyl == 4, hp > 5), # avoid the letter a in the legend aes(label = name), show.legend
= FALSE) + labs(title = "How car weight affects gas comsumption", x = "weight", y = "mileage per US galon", colour = "Automatic\nManual", caption = "source: mtcars") + theme(plot.caption = element_text(face = "italic"), plot.caption.position = "plot") + # this will allow the text outside of the plot panel coord_cartesian(clip = 'off')
Conservation status
Most of the animals present in this table possess a conservation status. This means that they are more or less in danger for their own survival because of human behavior and activities.
Find out how many of each category of conservation status are present
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What endangered animals are eating?
We want to get a horizontal bar plot of conservation status, faceted by vore. However, of course, the conservation status won't be the same across alimentary regimes. Read the blog post by Julia Silge. That's a similar picture we would like to obtain in the end:
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