Week 0 notes

Access the data

The main data: https://github.com/rfordatascience/tidytuesday/tree/master/data/2020/2020-02-18

Relevant questions we can answer with the data

Let's gather some questions;how you're gonna visualise it; put your name if you are working on the question

  1. What type of food contributes the highes GHG emission?

Some plots we've done

  1. What type of food contributes the highes GHG emission?
    • geom_jitter (Alex)
clean_table %>% 
  ggplot(aes(x = fct_reorder(food_category, consumption), 
             y = consumption, 
             color = country)) +
  geom_jitter() +
  theme(legend.position = "none") +
  coord_flip()

Help! - ask question here

Q. How do I change the background?
A. Use theme
Q

Open R questions

Cool R things I learnt this week

Useful resources

Feedback

What we can improve for the next tidy-tuesdays?

Took too long

Too fast

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